"""GPT-2 SAE last-token programs, layer 6 -- features 21900 to 21999 (100 programs). One function per SAE feature. Grouped 100 to a file so the set stays browsable; the programs themselves are unchanged. """ def prog_L06F21900(input_tokens): """4 token families, 10 surface forms (train F1 of the uncapped optimum: 0.656). Fires at 22,854 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instructions for utilizing various tools or techniques""" # --- end external annotation --- fire = { # use (13,415 firings) ' use', ' uses', ' Use', 'Use', ' Uses', ' USE', ' Useful', # utilize (109 firings) ' utilize', # employ (102 firings) ' employ', # usable (87 firings) ' usable', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'use-family', 1 def prog_L06F21901(input_tokens): """12 token families, 12 surface forms (train F1 of the uncapped optimum: 0.207). Fires at 13,088 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to a specific entity or organization""" # --- end external annotation --- fire = { # c (2,311 firings) 'C', # columbia (355 firings) ' Columbia', # # (134 firings) '#', # budget (126 firings) ' Budget', # ul (95 firings) 'UL', # ali (80 firings) 'ali', # oca (67 firings) 'oca', # band (52 firings) 'band', # pay (50 firings) 'payer', # ibi (43 firings) 'ibi', # aca (40 firings) 'aca', # uru (36 firings) 'uru', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'c-family', 1 def prog_L06F21902(input_tokens): """19 token families, 19 surface forms (train F1 of the uncapped optimum: 0.156). Fires at 23,500 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: variations of the prefix "und" in words""" # --- end external annotation --- fire = { # en (674 firings) 'en', # of (547 firings) 'of', # ig (499 firings) 'ig', # ul (225 firings) 'ul', # ew (177 firings) 'ew', # et (176 firings) 'ET', # é (156 firings) 'é', # ro (148 firings) 'RO', # ian (143 firings) 'IAN', # ere (118 firings) 'ere', # ef (111 firings) 'ef', # pre (85 firings) 'pre', # der (82 firings) ' der', # des (74 firings) 'des', # eter (74 firings) 'eter', # ieg (65 firings) 'ieg', # esc (63 firings) 'esc', # erm (61 firings) 'erm', # ener (60 firings) 'ener', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'en-family', 1 def prog_L06F21903(input_tokens): """17 token families, 17 surface forms (train F1 of the uncapped optimum: 0.106). Fires at 163,372 of 36,786,566 positions. Fires at 0.44% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of specific days and actions related to meetings or interactions""" # --- end external annotation --- fire = { # on (13,252 firings) ' on', # at (8,344 firings) ' at', # aft (4,477 firings) ' after', # dur (2,461 firings) ' during', # before (1,474 firings) ' before', # since (1,037 firings) ' since', # while (995 firings) ' while', # wednesday (949 firings) ' Wednesday', # tuesday (908 firings) ' Tuesday', # monday (835 firings) ' Monday', # today (798 firings) ' today', # thursday (776 firings) ' Thursday', # earli (622 firings) ' earlier', # follow (617 firings) ' following', # morn (602 firings) ' morning', # via (584 firings) ' via', # discus (490 firings) ' discuss', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'on-family', 1 def prog_L06F21904(input_tokens): """38 token families, 44 surface forms (train F1 of the uncapped optimum: 0.816). Fires at 6,108 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the term "Ter" in various contexts""" # --- end external annotation --- fire = { # ter (1,153 firings) ' Ter', ' ter', 'Ter', ' TER', # tur (270 firings) ' Tur', # zimbabwe (210 firings) ' Zimbabwe', # terrain (204 firings) ' terrain', # tier (200 firings) ' Tier', 'Tier', # trafford (185 firings) ' Trafford', # terr (185 firings) ' terr', ' Terr', # mor (159 firings) 'Mor', # nut (148 firings) ' Nut', # tor (145 firings) ' tor', # ver (127 firings) ' Vers', # uproar (121 firings) ' uproar', # extrat (118 firings) ' extrater', # mist (110 firings) ' Mist', # tet (107 firings) ' Tet', # tig (88 firings) ' Tig', # sanct (84 firings) ' sanct', # terra (80 firings) ' Terra', # termin (77 firings) 'Termin', ' Termin', # tact (65 firings) ' tact', # spur (62 firings) ' Spur', # subt (59 firings) ' subter', # ster (55 firings) ' Ster', # ン (49 firings) 'ン', # zer (45 firings) ' Zer', # vor (40 firings) ' Vor', # retard (38 firings) ' retard', # teaspoon (37 firings) ' teaspoon', # territor (37 firings) ' Territories', # alt (34 firings) ' Alter', # tus (33 firings) ' Tus', # ont (30 firings) ' ont', # terran (29 firings) ' Terran', # etiquette (27 firings) ' etiquette', # pal (23 firings) 'Palest', # imbabwe (22 firings) 'imbabwe', # stellar (21 firings) ' Stellar', # territ (18 firings) ' Territ', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ter-family', 1 def prog_L06F21905(input_tokens): """12 token families, 16 surface forms (train F1 of the uncapped optimum: 0.156). Fires at 28,901 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: emotional states related to safety, comfort, and feelings of guilt or exclusion""" # --- end external annotation --- fire = { # comfort (289 firings) ' comfortable', ' comfort', ' comforting', # safe (244 firings) ' safe', 'safe', # dead (234 firings) ' dead', # bad (180 firings) 'bad', # confident (113 firings) ' confident', # compell (105 firings) ' compelled', # uncomfort (95 firings) ' uncomfortable', # sad (92 firings) ' sad', ' sadness', # honor (89 firings) ' honored', # embarrass (87 firings) ' embarrassed', # vulner (87 firings) ' vulnerable', # lucky (74 firings) ' lucky', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'comfort-family', 1 def prog_L06F21906(input_tokens): """17 token families, 19 surface forms (train F1 of the uncapped optimum: 0.182). Fires at 10,182 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: profanity and explicit language""" # --- end external annotation --- fire = { # * (268 firings) '*', # *** (123 firings) '***', # ** (113 firings) '**', # # (95 firings) '#', # ü (86 firings) 'ü', # heck (82 firings) ' heck', # odd (69 firings) 'odd', # **** (64 firings) '****', ' ****', # --- (59 firings) '---', # url (58 firings) 'url', # oth (55 firings) 'other', # ?? (37 firings) '??', ' ??', # ø (36 firings) 'ø', # )( (30 firings) ')(', # pic (29 firings) 'pic', # ê (28 firings) 'ê', # ¢ (26 firings) '¢', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '*-family', 1 def prog_L06F21907(input_tokens): """12 token families, 19 surface forms (train F1 of the uncapped optimum: 0.459). Fires at 7,935 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "reporting." """ # --- end external annotation --- fire = { # report (1,959 firings) ' reporting', ' Reporting', 'reported', 'reporting', 'report', ' REPORT', 'reports', 'Reporting', # storytell (105 firings) ' storytelling', # rapp (91 firings) ' Rapp', # organiz (87 firings) ' organizing', # journalist (79 firings) ' journalistic', # battalion (51 firings) ' Battalion', # check (38 firings) 'checking', # pip (35 firings) ' piping', # icing (34 firings) 'icing', # braz (33 firings) ' Braz', # dropp (30 firings) 'dropping', # tell (28 firings) 'telling', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'report-family', 1 def prog_L06F21908(input_tokens): """44 token families, 102 surface forms (train F1 of the uncapped optimum: 0.421). Fires at 85,447 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: technical terms related to audio processing and monitoring""" # --- end external annotation --- fire = { # ing (2,675 firings) 'ing', # manage (1,014 firings) ' management', ' Management', 'management', 'Management', # test (788 firings) ' testing', ' Testing', 'testing', 'Testing', ' TEST', # search (781 firings) ' search', ' Search', 'search', 'Search', # market (714 firings) ' marketing', ' Marketing', # analysi (682 firings) ' analysis', ' Analysis', # pay (669 firings) ' payment', ' payments', ' Payments', ' Payment', 'payment', # shar (668 firings) ' sharing', 'sharing', ' Sharing', # surveill (626 firings) ' surveillance', ' Surveillance', # ation (625 firings) 'ation', # process (620 firings) ' processing', ' Processing', 'processing', # iza (592 firings) 'ization', # track (552 firings) ' tracking', 'tracking', ' Tracking', # learn (547 firings) ' learning', ' Learning', 'learning', # park (490 firings) ' parking', ' Parking', # storage (475 firings) ' storage', ' Storage', 'storage', # min (458 firings) ' mining', ' Mining', 'mining', # programm (457 firings) ' programming', ' Programming', # vot (451 firings) ' voting', ' Voting', # stream (447 firings) ' streaming', ' Streaming', 'Streamer', # trad (430 firings) ' trading', ' Trading', # combat (410 firings) ' combat', ' Combat', # communica (409 firings) ' communication', 'communication', ' Communication', # advertis (403 firings) ' advertising', ' Advertising', 'advertising', # monitor (388 firings) ' monitoring', ' Monitoring', # print (359 firings) ' printing', ' Printing', # comput (341 firings) ' computing', ' Computing', # delivery (326 firings) ' delivery', ' Delivery', # manufactur (304 firings) ' manufacturing', ' Manufacturing', # shipp (294 firings) ' shipping', ' Shipping', 'Shipping', # light (290 firings) ' lighting', ' Lighting', 'lighting', # dat (286 firings) ' dating', ' Dating', 'dating', # messag (284 firings) ' messaging', ' Messages', # encryp (282 firings) ' encryption', # communication (282 firings) ' communications', 'communications', # charg (280 firings) ' charging', 'charging', # naviga (258 firings) ' navigation', ' Navigation', # graphic (244 firings) ' graphics', # imag (241 firings) ' imaging', ' Imaging', # detec (238 firings) ' detection', ' Detection', # omy (235 firings) 'omy', # recogni (232 firings) ' recognition', # analytic (229 firings) ' analytics', ' Analytics', # ifica (221 firings) 'ification', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ing-family', 1 def prog_L06F21909(input_tokens): """12 token families, 17 surface forms (train F1 of the uncapped optimum: 0.745). Fires at 7,861 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to evidence or proof in various contexts""" # --- end external annotation --- fire = { # evid (4,141 firings) ' evidence', ' Evidence', 'Evidence', 'evidence', ' evid', # proof (436 firings) ' proof', # indication (105 firings) ' indications', # empir (88 firings) ' empirical', ' empir', # evidenc (78 firings) ' evidenced', # testim (42 firings) ' testim', # scripture (36 firings) ' Scripture', # ________________________________ (33 firings) '________________________________', # circumst (26 firings) ' circumst', # testimon (24 firings) ' testimonies', # conclus (23 firings) ' conclusive', # indi (23 firings) ' indis', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'evid-family', 1 def prog_L06F21910(input_tokens): """44 token families, 53 surface forms (train F1 of the uncapped optimum: 0.791). Fires at 7,634 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of a specific name or title""" # --- end external annotation --- fire = { # motor (508 firings) ' Motor', 'Motor', # nar (506 firings) 'nar', ' Nar', 'Nar', ' nar', # rodrigo (264 firings) ' Rodrigo', # nav (261 firings) ' Naval', # nissan (199 firings) ' Nissan', # lar (182 firings) ' Lar', ' lar', # nak (164 firings) ' Nak', # agar (154 firings) 'agar', # viktor (152 firings) ' Viktor', # swat (136 firings) ' SWAT', # arri (133 firings) ' Arri', # atl (131 firings) ' Atl', 'Atl', # inspector (125 firings) ' Inspector', # hyd (122 firings) ' Hyder', # aru (116 firings) 'aru', # byrne (106 firings) ' Byrne', # narc (103 firings) ' Narc', ' narc', # aur (90 firings) ' aur', ' Aur', # hak (86 firings) ' Hak', # reimburse (84 firings) ' reimburse', ' reimbursement', # hannib (83 firings) ' Hannibal', # criminal (81 firings) ' criminally', # kak (75 firings) ' Kak', # inn (69 firings) ' Inner', # andromeda (68 firings) ' Andromeda', # metall (68 firings) ' Metall', # out (67 firings) ' Outer', # m (66 firings) ' Mé', # subaru (64 firings) ' Subaru', # naruto (62 firings) ' Naruto', # ley (61 firings) ' Ley', # orr (58 firings) 'orr', # sara (57 firings) ' Saras', # stimul (54 firings) ' stimul', # nora (50 firings) ' Nora', # sher (50 firings) ' sher', # ujah (48 firings) 'ujah', # lup (47 firings) ' Lup', # alph (45 firings) ' Alph', # iban (44 firings) 'iban', # reimb (43 firings) ' reimb', # rem (38 firings) ' REM', # narra (35 firings) ' narration', # hyperten (34 firings) ' hypertension', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'motor-family', 1 def prog_L06F21911(input_tokens): """3 token families, 10 surface forms (train F1 of the uncapped optimum: 0.232). Fires at 8,379 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the word "who" indicating questions of identity or responsibility""" # --- end external annotation --- fire = { # who (7,262 firings) ' who', ' Who', 'Who', 'who', ' WHO', 'WHO', # whoev (216 firings) ' whoever', ' Whoever', 'Whoever', # omev (21 firings) 'omever', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'who-family', 1 def prog_L06F21912(input_tokens): """4 token families, 7 surface forms (train F1 of the uncapped optimum: 0.089). Fires at 168,708 of 36,786,566 positions. Fires at 0.46% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: prominent political or social issues and activism-related terms""" # --- end external annotation --- fire = { # ' (2,439 firings) "'", " '", # : (2,353 firings) ':', # trump (746 firings) ' Trump', 'trump', ' TRUMP', # we (490 firings) 'We', } token = input_tokens[-1] if token not in fire: return "no match", 0 return "'-family", 1 def prog_L06F21913(input_tokens): """26 token families, 32 surface forms (train F1 of the uncapped optimum: 0.658). Fires at 5,105 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the phrase "READ MORE." """ # --- end external annotation --- fire = { # read (751 firings) 'READ', ' READ', # man (322 firings) 'MAN', # ow (285 firings) 'OW', # get (241 firings) 'GET', ' GET', # watch (207 firings) 'WATCH', ' WATCH', # rawdownloadcloneembedreportprint (204 firings) 'rawdownloadcloneembedreportprint', # edit (163 firings) 'EDIT', ' EDIT', # share (153 firings) 'SHARE', # see (128 firings) 'SEE', # ual (96 firings) 'UAL', # new (88 firings) 'NEWS', # pol (75 firings) 'POL', # cet (55 firings) ' CET', # list (43 firings) 'LIST', # just (41 firings) 'JUST', # pet (39 firings) 'PET', # sup (37 firings) 'SUP', # llow (33 firings) 'LLOW', # pre (31 firings) 'PRE', # ull (29 firings) 'ULL', # ► (24 firings) '►', # now (24 firings) 'NOW', # rep (22 firings) 'REP', 'reply', # sign (19 firings) 'SIGN', # raw (15 firings) 'RAW', # fix (14 firings) ' FIX', 'FIX', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'read-family', 1 def prog_L06F21914(input_tokens): """1 token families, 2 surface forms (train F1 of the uncapped optimum: 0.166). Fires at 134,711 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "the." """ # --- end external annotation --- fire = { # the (123,949 firings) ' the', ' THE', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L06F21915(input_tokens): """32 token families, 33 surface forms (train F1 of the uncapped optimum: 0.791). Fires at 6,507 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the name "Austin" in various contexts""" # --- end external annotation --- fire = { # austin (1,325 firings) ' Austin', 'Austin', # antonio (528 firings) ' Antonio', # bank (240 firings) ' Banks', # sheffield (197 firings) ' Sheffield', # ut (178 firings) ' UT', # bristol (176 firings) ' Bristol', # cain (170 firings) ' Cain', # barton (145 firings) ' Barton', # xton (145 firings) 'xton', # williamson (143 firings) ' Williamson', # sx (109 firings) ' SX', # cork (109 firings) ' Cork', # cbd (102 firings) ' CBD', # bangalore (101 firings) ' Bangalore', # pax (93 firings) ' PAX', # beck (89 firings) ' Becker', # amar (86 firings) ' Amar', # burges (86 firings) ' Burgess', # cedar (86 firings) ' Cedar', # ashton (85 firings) ' Ashton', # oak (84 firings) ' oak', # cary (83 firings) ' Cary', # ci (81 firings) ' Ci', # vaughan (79 firings) ' Vaughan', # aign (74 firings) 'aign', # augusta (49 firings) ' Augusta', # dain (38 firings) 'dain', # ageddon (35 firings) 'ageddon', # aust (28 firings) ' aust', # avalon (27 firings) ' Avalon', # acs (21 firings) ' ACS', # avocado (18 firings) ' avocado', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'austin-family', 1 def prog_L06F21916(input_tokens): """40 token families, 45 surface forms (train F1 of the uncapped optimum: 0.639). Fires at 7,372 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the Eiffel Tower""" # --- end external annotation --- fire = { # iff (1,164 firings) 'iff', 'iffs', 'IFF', # few (170 firings) 'Few', 'few', # cliff (148 firings) ' Cliff', # sniff (137 firings) ' sniff', # sec (131 firings) ' Sec', # judy (111 firings) ' Judy', # britt (99 firings) ' Britt', # tiffany (92 firings) ' Tiffany', # rict (91 firings) 'rict', # forty (86 firings) ' Forty', # icket (85 firings) 'icket', # tariff (84 firings) ' tariff', # mob (84 firings) ' Mob', # schiff (82 firings) ' Schiff', # iem (82 firings) 'iem', # iffin (79 firings) 'iffin', # ticket (78 firings) ' Ticket', # pip (69 firings) ' Piper', # supp (66 firings) ' supp', # arge (65 firings) 'arge', # riff (64 firings) ' riff', # iola (63 firings) 'iola', # thirty (63 firings) ' Thirty', # ruff (59 firings) 'ruff', # atel (57 firings) 'atel', # diff (55 firings) 'Diff', ' Diff', # clifford (51 firings) ' Clifford', # ipt (46 firings) 'ipt', # mf (40 firings) ' MF', 'MF', # bey (34 firings) 'Bey', # griff (33 firings) ' Griff', # prejud (31 firings) ' prejud', # iffe (30 firings) 'iffe', # ishop (29 firings) 'ishop', # igg (26 firings) 'igger', # mism (24 firings) ' mism', # aund (24 firings) 'aund', # font (22 firings) 'Font', # byte (22 firings) ' byte', # tiff (21 firings) ' Tiff', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'iff-family', 1 def prog_L06F21917(input_tokens): """14 token families, 25 surface forms (train F1 of the uncapped optimum: 0.156). Fires at 708,064 of 36,786,566 positions. Fires at 1.92% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to events involving conflict or violence""" # --- end external annotation --- fire = { # a (33,172 firings) ' a', # has (8,737 firings) ' has', # by (7,103 firings) ' by', # aft (6,628 firings) ' after', # been (4,969 firings) ' been', # week (4,804 firings) ' week', ' weeks', 'week', # which (3,530 firings) ' which', # month (3,010 firings) ' month', ' months', 'month', ' Months', 'months', # day (2,745 firings) ' days', ' day', 'day', 'Days', # recent (2,462 firings) ' recent', ' recently', ' Recently', # in (2,415 firings) 'In', # year (2,357 firings) ' year', # accord (2,232 firings) ' according', # since (1,908 firings) ' since', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'a-family', 1 def prog_L06F21918(input_tokens): """19 token families, 48 surface forms (train F1 of the uncapped optimum: 0.213). Fires at 177,013 of 36,786,566 positions. Fires at 0.48% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to reports and analyses""" # --- end external annotation --- fire = { # report (6,088 firings) ' report', ' reports', ' reported', ' reporter', ' Report', ' reporting', ' Reports', ' REPORT', # rul (1,348 firings) ' rules', ' ruling', ' ruled', ' Rules', ' rulings', # research (1,344 firings) ' research', ' researchers', ' Research', ' researcher', # data (1,212 firings) ' data', # law (1,129 firings) ' law', # poll (1,025 firings) ' poll', ' Poll', ' polling', # deci (1,003 firings) ' decision', ' Decision', # investiga (930 firings) ' investigation', # meet (859 firings) ' meeting', ' meetings', ' Meeting', # plan (809 firings) ' plan', # policy (767 firings) ' policy', # fund (733 firings) ' funding', ' funds', ' Funding', ' Funds', # docu (690 firings) ' documents', ' document', ' Documents', # website (617 firings) ' website', # analysi (562 firings) ' analysis', ' Analysis', 'analysis', # response (504 firings) ' response', ' Response', # effort (494 firings) ' efforts', # coverage (492 firings) ' coverage', ' Coverage', # survey (445 firings) ' survey', ' surveys', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'report-family', 1 def prog_L06F21919(input_tokens): """38 token families, 64 surface forms (train F1 of the uncapped optimum: 0.408). Fires at 104,899 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: gerunds and present participles that emphasize ongoing actions or processes""" # --- end external annotation --- fire = { # mak (2,699 firings) ' making', 'Making', ' Making', # being (2,110 firings) ' being', # gett (2,001 firings) ' getting', 'Getting', ' Getting', 'getting', # creat (1,190 firings) ' creating', ' Creating', 'Creating', # hav (1,156 firings) ' having', # tak (1,128 firings) ' taking', # play (1,073 firings) ' playing', ' Playing', # build (1,028 firings) ' building', 'Building', # putt (938 firings) ' putting', 'Putting', ' Putting', # help (768 firings) ' helping', # provid (726 firings) ' providing', # keep (725 firings) ' keeping', 'Keeping', ' Keeping', # giv (689 firings) ' giving', 'Giving', ' Giving', # bring (683 firings) ' bringing', ' Bringing', # find (674 firings) ' finding', ' Finding', 'finding', # develop (648 firings) ' developing', # writ (595 firings) ' writing', # winn (585 firings) ' winning', # see (535 firings) ' seeing', ' Seeing', 'Seeing', 'seeing', # sell (531 firings) ' selling', ' Selling', # kill (529 firings) ' killing', # pay (527 firings) ' paying', # protect (457 firings) ' protecting', # support (436 firings) ' supporting', ' Supporting', # los (426 firings) ' losing', # improv (414 firings) ' improving', # rais (414 firings) ' raising', # buy (393 firings) ' buying', # reduc (374 firings) ' reducing', # pass (355 firings) ' passing', ' Passing', ' Passed', # enter (352 firings) ' entering', # send (338 firings) ' sending', ' Sending', # promot (319 firings) ' promoting', # fail (307 firings) ' failing', # deal (303 firings) ' dealing', # produc (298 firings) ' producing', # remov (267 firings) ' removing', # reach (267 firings) ' reaching', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'mak-family', 1 def prog_L06F21920(input_tokens): """6 token families, 10 surface forms (train F1 of the uncapped optimum: 0.754). Fires at 6,832 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the word "Me." """ # --- end external annotation --- fire = { # me (4,107 firings) ' Me', 'me', 'Me', ' ME', 'ME', # megan (186 firings) ' Megan', # meh (123 firings) ' Meh', # measl (108 firings) ' measles', # moe (38 firings) ' Moe', # mei (28 firings) ' Mei', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'me-family', 1 def prog_L06F21921(input_tokens): """2 token families, 7 surface forms (train F1 of the uncapped optimum: 0.067). Fires at 33,260 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases expressing intentions or desires to take action""" # --- end external annotation --- fire = { # to (24,368 firings) ' to', 'to', ' To', ' TO', # should (597 firings) ' should', 'should', ' SHOULD', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'to-family', 1 def prog_L06F21922(input_tokens): """36 token families, 44 surface forms (train F1 of the uncapped optimum: 0.650). Fires at 8,645 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "poster" and its variations""" # --- end external annotation --- fire = { # post (891 firings) ' poster', ' posters', ' Poster', # ost (463 firings) 'oster', # billboard (278 firings) ' billboard', ' billboards', # mur (224 firings) ' mural', ' mur', # pul (206 firings) ' Pul', # fly (176 firings) ' flyers', ' flyer', # fram (156 firings) ' framed', # comment (149 firings) ' commenters', ' commenter', # stick (148 firings) ' sticker', # paramount (147 firings) ' Paramount', # board (146 firings) 'boards', # infograph (132 firings) ' infographic', # pos (111 firings) ' posing', # pap (110 firings) 'paper', 'papers', # vide (109 firings) ' vide', ' Vide', # bump (102 firings) ' bumper', # aper (99 firings) 'aper', # presentation (85 firings) ' presentations', # pal (81 firings) 'pal', # bulletin (80 firings) ' bulletin', # pic (78 firings) ' pics', # print (70 firings) ' prints', # pad (69 firings) 'pad', # projector (67 firings) ' projector', # pcb (60 firings) ' PCB', # wallpap (58 firings) ' wallpaper', # sten (48 firings) ' sten', # resur (47 firings) ' resur', # crucifix (40 firings) ' crucifix', # plast (37 firings) ' plaster', # pter (29 firings) 'pter', # powerpoint (28 firings) ' PowerPoint', # posterior (26 firings) ' posterior', # pall (25 firings) ' pall', # thumbnail (23 firings) ' Thumbnails', # mod (23 firings) ' Moder', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'post-family', 1 def prog_L06F21923(input_tokens): """12 token families, 17 surface forms (train F1 of the uncapped optimum: 0.384). Fires at 8,338 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: concepts and discussions centered around significance or importance""" # --- end external annotation --- fire = { # matt (2,191 firings) ' matter', ' matters', ' Matter', ' Matters', 'matter', # appl (214 firings) ' applies', # loom (104 firings) ' looms', # car (93 firings) ' cares', # suck (89 firings) ' sucks', # matter (57 firings) ' mattered', # rang (47 firings) ' rang', # mat (35 firings) ' MAT', # suffice (34 firings) ' suffice', # palp (30 firings) ' palpable', # paramount (25 firings) ' paramount', # tain (21 firings) 'tains', 'tained', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'matt-family', 1 def prog_L06F21924(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.264). Fires at 25,985 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the word "described" and its associated phrases""" # --- end external annotation --- fire = { # as (22,139 firings) ' as', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'as-family', 1 def prog_L06F21925(input_tokens): """2 token families, 3 surface forms (train F1 of the uncapped optimum: 0.639). Fires at 9,841 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to links or connections in various contexts""" # --- end external annotation --- fire = { # between (8,657 firings) ' between', ' Between', # pmwiki (52 firings) 'pmwiki', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'between-family', 1 def prog_L06F21926(input_tokens): """44 token families, 52 surface forms (train F1 of the uncapped optimum: 0.555). Fires at 8,340 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to confessions and admission of guilt""" # --- end external annotation --- fire = { # confes (268 firings) ' confess', ' confession', # pact (232 firings) ' pact', ' Pact', # shawn (213 firings) ' Shawn', # confess (203 firings) ' confessed', # reve (165 firings) ' Reve', 'reve', # sud (141 firings) ' Sud', # rudy (136 firings) ' Rudy', # candid (133 firings) ' candid', # ession (129 firings) 'ession', 'essional', # contr (123 firings) ' contr', # admitt (96 firings) ' admitting', # betray (90 firings) ' betray', ' betrayed', # bragg (88 firings) ' bragging', # seces (86 firings) ' secession', # raw (83 firings) ' RAW', # volunteer (75 firings) ' volunteered', # sin (70 firings) ' sins', # profes (69 firings) ' profess', # bapt (65 firings) ' baptized', ' Bapt', ' bapt', # confession (55 firings) ' confessions', # pas (55 firings) ' Passion', # calvin (55 firings) ' Calvin', # crocod (47 firings) ' crocod', # tid (43 firings) ' Tid', # declaration (43 firings) ' declarations', # boast (43 firings) ' boasting', # remorse (42 firings) ' remorse', # couch (42 firings) ' Couch', # nath (40 firings) ' Nath', # dah (39 firings) ' Dah', # akable (38 firings) 'akable', # baptism (37 firings) ' baptism', # blush (37 firings) ' blush', # incrim (35 firings) ' incrim', # chenko (34 firings) 'chenko', # freud (34 firings) ' Freud', # cassette (33 firings) ' cassette', # cyan (32 firings) ' cyan', # itent (31 firings) 'itent', # autobi (26 firings) ' autobi', # weep (26 firings) ' weep', # repent (26 firings) ' repent', ' repentance', # conv (25 firings) 'conv', # trembl (21 firings) ' trembling', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'confes-family', 1 def prog_L06F21927(input_tokens): """4 token families, 10 surface forms (train F1 of the uncapped optimum: 0.801). Fires at 12,345 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to various medical or training centers""" # --- end external annotation --- fire = { # cent (7,373 firings) ' Center', ' center', ' centers', 'Center', 'center', ' CENT', # centre (2,038 firings) ' Centre', ' centre', # centr (262 firings) ' centres', # appeal (225 firings) ' Appeals', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'cent-family', 1 def prog_L06F21928(input_tokens): """5 token families, 6 surface forms (train F1 of the uncapped optimum: 0.272). Fires at 7,791 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the phrase "break down." """ # --- end external annotation --- fire = { # down (3,296 firings) ' down', 'down', # breakdown (348 firings) ' breakdown', # lat (77 firings) 'lated', # bord (34 firings) 'border', # struct (33 firings) 'struct', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'down-family', 1 def prog_L06F21929(input_tokens): """41 token families, 42 surface forms (train F1 of the uncapped optimum: 0.239). Fires at 204,601 of 36,786,566 positions. Fires at 0.56% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: specific dates and times in the text""" # --- end external annotation --- fire = { # year (4,515 firings) ' year', # last (4,295 firings) ' last', # week (3,606 firings) ' week', # ago (2,844 firings) ' ago', # monday (2,656 firings) ' Monday', # tuesday (2,656 firings) ' Tuesday', # wednesday (2,446 firings) ' Wednesday', # friday (2,259 firings) ' Friday', # thursday (2,192 firings) ' Thursday', # month (1,935 firings) ' month', # night (1,721 firings) ' night', # sunday (1,683 firings) ' Sunday', # saturday (1,554 firings) ' Saturday', # march (1,520 firings) ' March', # may (1,507 firings) ' May', # 2015 (1,496 firings) ' 2015', # morn (1,449 firings) ' morning', # late (1,391 firings) ' late', ' lately', # july (1,370 firings) ' July', # june (1,310 firings) ' June', # 2014 (1,281 firings) ' 2014', # 2012 (1,208 firings) ' 2012', # 2013 (1,182 firings) ' 2013', # septemb (1,122 firings) ' September', # january (1,115 firings) ' January', # april (1,110 firings) ' April', # octob (1,089 firings) ' October', # august (1,066 firings) ' August', # 2011 (1,053 firings) ' 2011', # novemb (1,003 firings) ' November', # earli (933 firings) ' earlier', # weekend (932 firings) ' weekend', # afternoon (928 firings) ' afternoon', # 2010 (897 firings) ' 2010', # decemb (892 firings) ' December', # february (891 firings) ' February', # 2008 (742 firings) ' 2008', # summ (737 firings) ' summer', # 2009 (691 firings) ' 2009', # yesterday (631 firings) ' yesterday', # 2007 (557 firings) ' 2007', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'year-family', 1 def prog_L06F21930(input_tokens): """6 token families, 6 surface forms (train F1 of the uncapped optimum: 0.158). Fires at 99,073 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating requests or actions taken by groups of people""" # --- end external annotation --- fire = { # are (13,534 firings) ' are', # have (11,047 firings) ' have', # were (4,699 firings) ' were', # often (782 firings) ' often', # aren (320 firings) ' aren', # seem (268 firings) ' seem', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'are-family', 1 def prog_L06F21931(input_tokens): """7 token families, 12 surface forms (train F1 of the uncapped optimum: 0.070). Fires at 159,610 of 36,786,566 positions. Fires at 0.43% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to action-oriented themes and activities""" # --- end external annotation --- fire = { # , (16,761 firings) ',', # ( (2,063 firings) ' (', # against (1,061 firings) ' against', ' Against', # close (827 firings) 'CLOSE', # between (761 firings) ' between', # action (517 firings) ' action', ' actions', 'actions', # involv (510 firings) ' involving', ' involved', ' involves', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L06F21932(input_tokens): """29 token families, 31 surface forms (train F1 of the uncapped optimum: 0.806). Fires at 4,326 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the prefix "com" in various contexts""" # --- end external annotation --- fire = { # com (1,171 firings) ' com', ' Com', ' COM', # comm (339 firings) ' comm', # comet (195 firings) ' comet', # coma (123 firings) ' coma', # gru (106 firings) ' gru', # android (92 firings) ' android', # org (89 firings) ' org', # comple (73 firings) ' comple', # emer (73 firings) ' emer', # carmen (68 firings) ' Carmen', # incon (63 firings) ' incon', # benign (63 firings) ' benign', # java (61 firings) ' java', # consum (57 firings) ' consum', # uncom (56 firings) ' uncom', # ris (53 firings) ' ris', # congen (52 firings) ' congen', # rock (51 firings) ' rocking', # prod (46 firings) ' prod', # sust (38 firings) ' sust', # accu (38 firings) ' accus', # indi (36 firings) ' indis', # incom (32 firings) ' incom', # י� (25 firings) 'י�', # brun (24 firings) ' brun', # produ (15 firings) ' produ', # evid (14 firings) ' evid', # unimagin (14 firings) ' unimagin', # educ (11 firings) ' educ', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'com-family', 1 def prog_L06F21933(input_tokens): """49 token families, 52 surface forms (train F1 of the uncapped optimum: 0.687). Fires at 11,481 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of memorials or commemorative events""" # --- end external annotation --- fire = { # memor (915 firings) ' Memorial', ' memorial', # independ (361 firings) ' Independence', # cyb (305 firings) ' Cyber', # veteran (198 firings) ' Veterans', # holiday (190 firings) ' Holiday', # trophy (179 firings) ' Trophy', # lobby (168 firings) ' lobby', # civ (155 firings) ' Civic', # monu (153 firings) ' Monument', # mem (143 firings) 'Mem', ' MEM', # parkway (142 firings) ' Parkway', # emb (140 firings) 'EMBER', # coliseum (132 firings) ' Coliseum', # clara (132 firings) ' Clara', # jurass (128 firings) ' Jurassic', # highland (125 firings) ' Highland', ' Highlands', # huntington (119 firings) ' Huntington', # wembley (115 firings) ' Wembley', # governor (107 firings) ' Governors', # harbor (105 firings) ' Harbor', # hampton (101 firings) ' Hampton', # president (101 firings) ' Presidents', # account (101 firings) ' Accountability', # bump (99 firings) ' bumper', # rockefell (87 firings) ' Rockefeller', # hancock (78 firings) ' Hancock', # glaci (77 firings) ' Glacier', # harbour (77 firings) ' Harbour', # maritime (76 firings) ' Maritime', # hamm (72 firings) ' Hammer', # friendship (71 firings) ' Friendship', # umm (71 firings) 'ummer', # buckingham (67 firings) ' Buckingham', # remem (65 firings) ' Remem', # lunar (65 firings) ' Lunar', # statue (63 firings) ' Statue', # mgm (63 firings) ' MGM', # rsa (61 firings) ' RSA', # clapp (61 firings) ' Clapper', # lucky (61 firings) ' Lucky', # hamp (57 firings) ' Hamp', # missile (55 firings) ' Missile', # cyp (54 firings) ' Cyp', # lawn (54 firings) ' Lawn', # umann (54 firings) 'umann', # countdown (51 firings) ' Countdown', # neurolog (50 firings) ' Neurolog', # lutheran (47 firings) ' Lutheran', # lazaru (41 firings) ' Lazarus', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'memor-family', 1 def prog_L06F21934(input_tokens): """39 token families, 48 surface forms (train F1 of the uncapped optimum: 0.714). Fires at 5,511 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "gro" indicating themes of growth or collectivism""" # --- end external annotation --- fire = { # gro (807 firings) ' Gro', ' gro', 'gro', 'Gro', # agan (384 firings) 'agan', # grove (223 firings) ' Grove', # fro (221 firings) ' Fro', ' fro', # thro (191 firings) 'thro', ' thro', ' Thro', # groom (156 firings) ' groom', ' grooming', # isco (127 firings) 'isco', # fo (126 firings) 'FO', # gri (100 firings) ' Gri', ' gri', # ockey (92 firings) 'ockey', # groin (89 firings) ' groin', # blo (71 firings) ' blo', # heel (65 firings) ' heel', # gi (61 firings) 'GI', # gymn (59 firings) ' gymn', # headach (55 firings) ' headaches', # flo (52 firings) ' flo', # shri (49 firings) ' shri', # lou (49 firings) ' lou', # gra (46 firings) 'Gra', # gasp (46 firings) ' gasp', ' gasped', # hob (46 firings) ' hob', # funk (45 firings) ' funk', # agon (43 firings) ' agon', # groove (42 firings) ' groove', # gh (40 firings) ' GH', # awkward (39 firings) ' awkwardly', # grun (38 firings) ' grun', # grape (30 firings) ' grape', # jo (28 firings) 'JO', # atro (28 firings) ' atro', # invol (27 firings) ' invol', # stag (26 firings) ' stag', # grou (25 firings) ' grou', # impro (20 firings) ' impro', # grunt (17 firings) ' grunt', # flatt (17 firings) ' flatt', # gre (17 firings) 'gre', # eal (15 firings) 'eals', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'gro-family', 1 def prog_L06F21935(input_tokens): """24 token families, 93 surface forms (train F1 of the uncapped optimum: 0.289). Fires at 161,736 of 36,786,566 positions. Fires at 0.44% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to hardback and limited edition printed materials""" # --- end external annotation --- fire = { # book (3,467 firings) ' book', ' books', 'book', 'books', 'Books', 'Book', 'BOOK', # edi (1,746 firings) ' edition', ' Edition', 'edition', ' EDITION', # ser (1,701 firings) ' series', 'series', ' serial', # release (1,270 firings) ' release', 'release', 'Release', # ver (1,137 firings) ' version', # collec (1,067 firings) ' collection', ' Collection', 'collection', 'Collection', # short (943 firings) ' short', ' shorts', # pack (932 firings) ' pack', ' Pack', ' packs', ' Packs', 'pack', 'packs', 'Pack', ' PACK', # album (919 firings) ' album', ' albums', 'album', # origin (881 firings) ' original', ' Original', 'original', # cov (805 firings) ' cover', ' covers', 'cover', ' Cover', 'Cover', ' COVER', # print (740 firings) ' print', ' printed', ' prints', 'print', 'prints', 'printed', ' Printed', # limit (683 firings) ' limited', ' Limited', 'Limited', 'limited', ' LIMITED', # digit (666 firings) ' digital', ' digit', 'Digital', 'digital', # novel (611 firings) ' novel', ' novels', ' Novel', # class (523 firings) ' classic', ' Classic', 'Classic', 'classic', # disc (488 firings) ' disc', ' Disc', 'disc', ' discs', 'Disc', # com (479 firings) ' comic', # set (466 firings) ' sets', ' Set', ' Sets', 'sets', # releas (453 firings) ' releases', 'released', ' Releases', # download (452 firings) ' download', ' downloadable', ' downloads', ' Downloads', # volume (412 firings) ' volume', ' Volume', 'Volume', 'volume', # dvd (409 firings) ' DVD', 'DVD', ' DVDs', # featur (405 firings) ' featuring', ' Featuring', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'book-family', 1 def prog_L06F21936(input_tokens): """40 token families, 57 surface forms (train F1 of the uncapped optimum: 0.364). Fires at 62,793 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to specific sports organizations and competitions""" # --- end external annotation --- fire = { # league (2,214 firings) ' League', 'League', 'league', # l (913 firings) 'L', # nba (720 firings) ' NBA', 'NBA', # fc (709 firings) ' FC', 'FC', # cup (667 firings) ' Cup', 'cup', # socc (557 firings) ' Soccer', # championship (551 firings) ' Championship', # mls (510 firings) ' MLS', # ba (467 firings) 'BA', # rugby (451 firings) ' Rugby', ' rugby', # basketball (448 firings) ' basketball', ' Basketball', # ser (429 firings) ' Series', 'Series', # hockey (400 firings) ' Hockey', # test (392 firings) ' Test', 'Test', # port (354 firings) 'port', 'ports', # open (351 firings) ' Open', # afl (345 firings) ' AFL', # sec (334 firings) ' SEC', 'SEC', # nhl (308 firings) ' NHL', # hl (296 firings) 'HL', # bc (296 firings) 'BC', # ac (294 firings) 'AC', # tour (293 firings) ' Tour', 'Tour', ' TOUR', # nrl (268 firings) ' NRL', # fl (257 firings) 'FL', # gp (252 firings) 'GP', ' GP', # ga (250 firings) 'GA', # cs (228 firings) 'CS', # weight (228 firings) 'weight', # universe (215 firings) ' Universe', # ten (211 firings) ' Ten', # ollywood (203 firings) 'ollywood', # ma (198 firings) 'MA', # gt (189 firings) ' GT', # bo (188 firings) 'BO', # sport (183 firings) 'Sports', 'sports', ' SPORTS', # fa (181 firings) 'FA', # acc (178 firings) ' ACC', 'ACC', # rac (164 firings) ' Racing', # baseball (158 firings) ' Baseball', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'league-family', 1 def prog_L06F21937(input_tokens): """1 token families, 3 surface forms (train F1 of the uncapped optimum: 0.326). Fires at 59,090 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases that start with "one thing that" to identify key points or themes""" # --- end external annotation --- fire = { # that (53,509 firings) ' that', ' THAT', ' thats', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'that-family', 1 def prog_L06F21938(input_tokens): """2 token families, 4 surface forms (train F1 of the uncapped optimum: 0.490). Fires at 15,994 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the phrase "at the end of the day." """ # --- end external annotation --- fire = { # day (8,048 firings) ' day', 'Day', ' DAY', # pt (344 firings) 'pt', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'day-family', 1 def prog_L06F21939(input_tokens): """49 token families, 64 surface forms (train F1 of the uncapped optimum: 0.707). Fires at 18,358 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of the name "Crow." """ # --- end external annotation --- fire = { # hawk (346 firings) ' Hawks', ' hawk', ' Hawk', # crow (310 firings) ' Crow', ' crow', 'crow', # buck (292 firings) ' Buck', # lgbtq (258 firings) ' LGBTQ', # jew (252 firings) ' Jew', 'Jew', # brow (251 firings) ' Brow', ' brow', 'Brow', 'brow', # chrom (246 firings) ' Chrom', ' chrom', # counsel (242 firings) ' Counsel', # chain (213 firings) ' chains', ' Chains', # bowie (194 firings) ' Bowie', # schneid (194 firings) ' Schneider', # divis (186 firings) ' divisive', # kes (173 firings) 'kes', # scot (167 firings) ' Scots', # bee (167 firings) ' bees', ' Bees', # gaz (164 firings) ' Gaz', # mourn (164 firings) ' mourn', # slur (158 firings) ' slur', ' slurs', # counselor (145 firings) ' counselor', ' counselors', # ace (144 firings) ' Ace', # que (143 firings) ' queer', # cage (137 firings) ' Cage', # claw (133 firings) ' claw', ' Claw', # jung (130 firings) ' Jung', # cran (129 firings) ' Cran', ' cran', # kang (128 firings) ' Kang', # cobb (123 firings) ' Cobb', # swan (123 firings) ' Swan', # crowley (118 firings) ' Crowley', # scrub (115 firings) ' scrub', # journey (114 firings) ' Journey', # blu (110 firings) ' blues', # pike (107 firings) ' Pike', # roku (101 firings) ' Roku', # kem (100 firings) ' Kem', # shel (97 firings) ' Shel', # cay (96 firings) ' Cay', # dwell (96 firings) ' dwell', # slack (94 firings) ' Slack', # cock (93 firings) ' Cock', # bun (92 firings) ' Bun', # segrega (91 firings) ' segregation', # daniel (91 firings) ' Daniels', # discriminatory (91 firings) ' discriminatory', # nun (90 firings) ' Nun', # wrest (88 firings) ' wrest', # norse (81 firings) ' Norse', # bon (80 firings) ' Bones', # cary (80 firings) ' Cary', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'hawk-family', 1 def prog_L06F21940(input_tokens): """19 token families, 23 surface forms (train F1 of the uncapped optimum: 0.370). Fires at 69,559 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: names of football players and related statistics""" # --- end external annotation --- fire = { # city (766 firings) ' City', # scor (496 firings) ' scored', ' scoring', ' scorer', # strik (347 firings) ' striker', ' strikers', # mourinho (325 firings) ' Mourinho', # ane (313 firings) 'ane', # midfield (311 firings) ' midfielder', ' midfield', # rodg (283 firings) ' Rodgers', # ini (264 firings) 'ini', # ovic (241 firings) 'ovic', # ba (203 firings) 'ba', # silva (200 firings) ' Silva', # weng (200 firings) ' Wenger', # gaal (199 firings) ' Gaal', # klopp (189 firings) ' Klopp', # ronaldo (186 firings) ' Ronaldo', # rooney (184 firings) ' Rooney', # kane (184 firings) ' Kane', # messi (183 firings) ' Messi', # brady (178 firings) ' Brady', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'city-family', 1 def prog_L06F21941(input_tokens): """44 token families, 53 surface forms (train F1 of the uncapped optimum: 0.558). Fires at 12,659 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of transcripts""" # --- end external annotation --- fire = { # transcript (750 firings) ' transcript', ' Transcript', ' transcripts', # audio (530 firings) ' audio', 'Audio', # text (445 firings) ' text', # excerpt (396 firings) ' excerpt', ' excerpts', # cript (218 firings) 'cript', # minut (201 firings) ' Minutes', # copy (164 firings) ' Copy', # record (152 firings) ' recordings', # transc (140 firings) ' transc', # tap (132 firings) ' tapes', # replay (128 firings) ' replay', # entirety (123 firings) ' entirety', # proceed (117 firings) ' Proceedings', # purse (117 firings) ' purse', # rubin (115 firings) ' Rubin', # snippet (111 firings) ' snippet', ' snippets', # chomsky (107 firings) ' Chomsky', # clip (96 firings) ' clips', # cerpt (95 firings) 'cerpt', # screenshot (91 firings) 'Screenshot', # brend (84 firings) 'Brend', # dialect (73 firings) ' dialect', # acket (73 firings) 'acket', 'ackets', # ript (68 firings) 'ript', 'RIPT', # aloud (67 firings) ' aloud', # overheard (66 firings) ' overheard', # syll (66 firings) ' syll', # receipt (66 firings) ' receipts', # redact (65 firings) ' redacted', # qur (63 firings) ' Qur', # video (63 firings) ' VIDEO', # subtitl (62 firings) ' subtitles', # paraph (61 firings) ' paraph', # cita (61 firings) ' citation', ' Citation', # reen (59 firings) 'reen', # transcrip (48 firings) ' transcription', # narrator (47 firings) ' narrator', # corpu (44 firings) ' corpus', ' Corpus', # brenda (43 firings) ' Brenda', # subtitle (41 firings) ' subtitle', # condens (41 firings) ' condensed', # citation (40 firings) ' citations', # plo (35 firings) ' PLoS', # phon (34 firings) ' phon', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'transcript-family', 1 def prog_L06F21942(input_tokens): """34 token families, 35 surface forms (train F1 of the uncapped optimum: 0.287). Fires at 36,083 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to various government departments and their functions""" # --- end external annotation --- fire = { # health (533 firings) ' Health', # justice (421 firings) ' Justice', # human (418 firings) ' Human', # homeland (380 firings) ' Homeland', # publ (357 firings) ' Public', # control (314 firings) ' Control', # affair (304 firings) ' Affairs', # educa (289 firings) ' Education', # transporta (285 firings) ' Transportation', # energy (273 firings) ' Energy', # immigra (252 firings) ' Immigration', # foreign (252 firings) ' Foreign', # environment (229 firings) ' Environmental', # disease (225 firings) ' Disease', # labor (206 firings) ' Labor', # econom (197 firings) ' Economic', # environ (191 firings) ' Environment', 'Environment', # revenue (189 firings) ' Revenue', # agriculture (186 firings) ' Agriculture', # trade (170 firings) ' Trade', # custom (162 firings) ' Customs', # appeal (162 firings) ' Appeals', # manage (159 firings) ' Management', # natur (148 firings) ' Natural', # statistic (127 firings) ' Statistics', # investiga (122 firings) ' Investigation', # resourc (121 firings) ' Resources', # rex (118 firings) ' Rex', # bord (118 firings) ' Border', # medicine (116 firings) ' Medicine', # commerce (112 firings) ' Commerce', # veteran (106 firings) ' Veterans', # interior (103 firings) ' Interior', # hous (97 firings) ' Housing', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'health-family', 1 def prog_L06F21943(input_tokens): """7 token families, 22 surface forms (train F1 of the uncapped optimum: 0.119). Fires at 615,406 of 36,786,566 positions. Fires at 1.67% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: technical terms and concepts relevant to programming and technology""" # --- end external annotation --- fire = { # � (33,182 firings) '�', ' �', # ) (3,170 firings) ')', # m (2,799 firings) 'm', 'M', ' M', ' m', # c (2,372 firings) 'C', ' C', 'c', ' c', # a (1,930 firings) ' A', 'a', 'ía', # b (1,672 firings) ' B', 'B', 'b', ' b', # d (1,601 firings) 'D', 'd', ' d', ' dé', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '�-family', 1 def prog_L06F21944(input_tokens): """7 token families, 22 surface forms (train F1 of the uncapped optimum: 0.161). Fires at 518,135 of 36,786,566 positions. Fires at 1.41% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to formal documents and structures""" # --- end external annotation --- fire = { # - (21,011 firings) '-', # new (5,196 firings) ' new', ' news', ' newly', 'new', ' newer', # year (2,276 firings) 'year', ' yearly', # old (1,681 firings) 'old', ' old', 'olding', # high (1,679 firings) ' high', ' higher', ' highly', 'high', 'highly', # state (1,593 firings) ' statement', 'state', 'statement', # long (1,442 firings) ' long', 'long', ' LONG', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1 def prog_L06F21945(input_tokens): """47 token families, 62 surface forms (train F1 of the uncapped optimum: 0.689). Fires at 24,865 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to backpacks and their related contexts""" # --- end external annotation --- fire = { # pack (400 firings) 'pack', 'packs', 'packing', ' Packs', # hik (397 firings) ' hiking', ' hikes', ' hikers', # hike (327 firings) ' hike', # ?! (292 firings) '?!', # monk (289 firings) ' monk', ' monks', ' Monk', # n (265 firings) 'án', # refuge (248 firings) ' refuge', ' Refuge', ' Refugees', # tra (242 firings) ' Tra', # kaepernick (241 firings) ' Kaepernick', # itive (227 firings) 'itive', # hq (223 firings) ' HQ', 'HQ', # tf (223 firings) 'TF', ' TF', 'tf', # backpack (221 firings) ' backpack', # iman (198 firings) 'iman', # itarian (192 firings) 'itarian', # wal (187 firings) 'Wal', # hamburg (179 firings) ' Hamburg', # stefan (172 firings) ' Stefan', # rio (171 firings) 'rio', # ban (165 firings) 'ban', # ulk (158 firings) 'ulk', # squat (154 firings) ' squat', ' squats', # ord (153 firings) ' Ord', # hut (151 firings) ' Hut', ' hut', # hulk (149 firings) ' Hulk', # riot (148 firings) ' Riot', # jeep (141 firings) ' Jeep', # bundy (139 firings) ' Bundy', # undraft (122 firings) ' undrafted', # ricardo (121 firings) ' Ricardo', # bund (118 firings) ' Bund', # summ (114 firings) ' summ', ' summed', # dunn (112 firings) ' Dunn', # fugit (109 firings) ' fugitive', # jorge (109 firings) ' Jorge', # johnston (109 firings) ' Johnston', # uchin (107 firings) 'uchin', # ampa (106 firings) 'ampa', # stad (105 firings) 'stad', # detain (103 firings) ' detain', # jiang (103 firings) 'jiang', # doub (100 firings) ' doub', # huff (99 firings) ' Huff', # tall (98 firings) 'tall', # stadt (97 firings) 'stadt', # ouf (97 firings) 'ouf', # fast (94 firings) ' fasting', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'pack-family', 1 def prog_L06F21946(input_tokens): """39 token families, 56 surface forms (train F1 of the uncapped optimum: 0.635). Fires at 19,254 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "praise" and its variations""" # --- end external annotation --- fire = { # celebrat (1,176 firings) ' celebrated', ' celebrating', ' celebrates', # critic (1,098 firings) ' criticized', ' criticised', # pra (576 firings) ' praised', ' Pra', # praise (487 firings) ' praise', # defend (388 firings) ' defended', ' defends', # hail (351 firings) ' hailed', # tout (326 firings) ' touted', ' touting', # welcom (290 firings) ' welcomed', # endors (289 firings) ' endorsed', ' endorsing', # criticiz (264 firings) ' criticizing', # thank (263 firings) ' thanked', ' thanking', # mock (258 firings) ' mocked', ' mocking', # credit (253 firings) ' credited', # prais (239 firings) ' praising', ' praises', # applaud (201 firings) ' applaud', ' applauded', # laud (200 firings) ' lauded', ' laud', # tribute (196 firings) ' tribute', # honor (195 firings) ' honored', ' honoring', # cheer (187 firings) ' cheered', ' cheering', # criticize (168 firings) ' criticize', # compli (156 firings) ' compliment', ' compliments', # approv (147 firings) ' approving', ' approves', # glow (142 firings) ' glowing', # reward (141 firings) ' rewarded', # admire (133 firings) ' admire', # admir (133 firings) ' admired', ' admirable', # condemn (119 firings) ' condemning', # salute (103 firings) ' salute', # accol (97 firings) ' accol', # honorary (95 firings) ' honorary', # glor (91 firings) ' glor', # admira (82 firings) ' admiration', # congratulat (80 firings) ' congratulated', # retweet (80 firings) ' retweet', # lament (78 firings) ' lamented', # congratulate (76 firings) ' congratulate', # congrat (74 firings) ' congrat', # complimentary (59 firings) ' complimentary', # commend (57 firings) ' commend', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'celebrat-family', 1 def prog_L06F21947(input_tokens): """37 token families, 47 surface forms (train F1 of the uncapped optimum: 0.676). Fires at 12,629 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to bicycles and biking""" # --- end external annotation --- fire = { # bike (1,924 firings) ' bike', ' Bike', 'bike', # bicycle (563 firings) ' bicycle', ' Bicycle', # bik (501 firings) ' bikes', ' biking', # cycl (451 firings) ' cycling', 'cycl', 'cycles', # motorcycle (391 firings) ' motorcycle', # cyclist (334 firings) ' cyclists', # bicycl (236 firings) ' bicycles', ' bicycl', # wheel (216 firings) ' wheels', # ike (159 firings) 'ikes', # patel (139 firings) ' Patel', # pistol (129 firings) ' pistol', # cycle (129 firings) 'cycle', ' Cycle', # harley (127 firings) ' Harley', # puppy (115 firings) ' puppy', # cruis (114 firings) ' cruiser', ' Cruiser', # motorcycl (112 firings) ' motorcycles', # ped (108 firings) ' pedal', # oot (105 firings) 'ooter', 'ooters', # soda (97 firings) ' soda', # cigarette (97 firings) ' cigarette', # bm (85 firings) ' BM', # thumb (85 firings) ' thumbs', # shim (83 firings) ' Shim', # iker (77 firings) 'ikers', # goat (75 firings) ' goats', # asaki (64 firings) 'asaki', # bip (58 firings) ' bip', # bi (52 firings) ' BI', # stationary (47 firings) ' stationary', # bicy (45 firings) ' bicy', # cane (45 firings) ' cane', # tractor (44 firings) ' tractor', # icycle (42 firings) 'icycle', # pedal (41 firings) ' pedals', # cabbage (40 firings) ' cabbage', # lightsab (34 firings) ' lightsaber', # blade (34 firings) 'blade', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'bike-family', 1 def prog_L06F21948(input_tokens): """12 token families, 20 surface forms (train F1 of the uncapped optimum: 0.794). Fires at 5,760 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "double" """ # --- end external annotation --- fire = { # double (2,316 firings) ' double', ' Double', 'double', 'Double', # triple (682 firings) ' triple', ' Triple', # doubl (592 firings) ' doubled', ' doubles', ' doubling', # single (182 firings) ' Single', 'Single', 'single', # doub (82 firings) ' doub', # cros (60 firings) 'Cross', # shortcut (35 firings) ' shortcut', # brute (30 firings) ' brute', # shift (28 firings) ' Shift', # duplicate (26 firings) ' duplicate', # ble (24 firings) 'BLE', # ouble (15 firings) 'ouble', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'double-family', 1 def prog_L06F21949(input_tokens): """3 token families, 10 surface forms (train F1 of the uncapped optimum: 0.723). Fires at 26,798 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to individuals in leadership positions or titles""" # --- end external annotation --- fire = { # president (20,182 firings) ' President', ' president', 'President', 'president', ' presidents', ' Presidents', ' PRESIDENT', # vp (295 firings) ' VP', 'VP', # treasur (67 firings) ' treasurer', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'president-family', 1 def prog_L06F21950(input_tokens): """12 token families, 21 surface forms (train F1 of the uncapped optimum: 0.068). Fires at 233,260 of 36,786,566 positions. Fires at 0.63% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of personal pronouns and indicators of collective experiences or actions""" # --- end external annotation --- fire = { # the (4,743 firings) 'The', # new (2,037 firings) ' new', 'NEW', ' NEW', # said (1,893 firings) ' said', # say (1,607 firings) ' say', ' says', # a (1,581 firings) 'A', # can (1,547 firings) ' can', ' Can', 'CAN', # we (1,117 firings) ' We', 'We', # could (880 firings) ' could', # but (838 firings) 'But', # man (703 firings) ' man', ' MAN', # help (688 firings) ' help', ' helped', ' helping', # -- (628 firings) ' --', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L06F21951(input_tokens): """8 token families, 28 surface forms (train F1 of the uncapped optimum: 0.206). Fires at 400,591 of 36,786,566 positions. Fires at 1.09% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to notable films and cultural icons, particularly in contexts involving tragedy or social commentary""" # --- end external annotation --- fire = { # trump (2,820 firings) ' Trump', 'Trump', # war (2,162 firings) ' War', ' war', ' Wars', 'war', ' wars', 'Wars', ' WAR', # obama (1,720 firings) ' Obama', # car (1,640 firings) ' car', ' cars', 'car', ' Cars', 'cars', # school (1,566 firings) ' school', ' schools', ' School', 'school', ' Schools', ' schooling', # elec (1,214 firings) ' election', 'election', ' Election', # world (1,198 firings) ' world', # children (1,176 firings) ' children', ' Children', 'children', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'trump-family', 1 def prog_L06F21952(input_tokens): """5 token families, 5 surface forms (train F1 of the uncapped optimum: 0.486). Fires at 15,699 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "I" and look for an empty document identifier""" # --- end external annotation --- fire = { # i (11,750 firings) 'I', # ii (143 firings) 'II', # ipa (129 firings) ' IPA', # ai (114 firings) 'AI', # ari (54 firings) 'ARI', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'i-family', 1 def prog_L06F21953(input_tokens): """48 token families, 62 surface forms (train F1 of the uncapped optimum: 0.699). Fires at 20,104 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the word "Has" along with variations of the term "bro." """ # --- end external annotation --- fire = { # has (1,455 firings) ' Has', 'has', 'Has', ' HAS', # bro (397 firings) 'bro', # had (259 firings) ' Had', # junior (257 firings) ' Junior', # expo (243 firings) ' Expo', # icon (236 firings) 'icon', 'icons', # tes (216 firings) ' Tes', 'tes', 'Tes', # ardo (207 firings) 'ardo', # crossov (197 firings) ' crossover', # tro (197 firings) 'tro', 'Tro', # lego (188 firings) ' LEGO', # ces (175 firings) ' CES', # transform (174 firings) ' Transformers', 'Transform', # devin (173 firings) ' Devin', # yosh (155 firings) ' Yosh', # produ (152 firings) 'produ', ' Produ', # ibo (151 firings) 'ibo', # hath (134 firings) ' Hath', ' hath', # eb (133 firings) ' Eb', ' EB', # hodg (128 firings) ' Hodg', # veh (127 firings) 'veh', 'Veh', ' veh', # mes (125 firings) ' Mes', # turbo (125 firings) ' turbo', ' Turbo', # nun (123 firings) ' Nunes', # jal (119 firings) ' Jal', # eid (109 firings) ' Eid', # harmon (109 firings) ' Harmon', # hib (108 firings) 'hib', # toy (104 firings) ' Toys', # abram (104 firings) ' Abrams', # defy (102 firings) ' defy', # def (102 firings) ' defied', # comm (99 firings) 'comm', # wayne (95 firings) 'wayne', # appl (93 firings) ' Applied', # xavi (89 firings) ' Xavier', # idlib (89 firings) ' Idlib', # cis (88 firings) ' cis', # unc (88 firings) ' Unc', # esc (88 firings) ' escal', # bac (84 firings) ' Bac', # igen (83 firings) 'igen', # endor (83 firings) 'endor', # rex (82 firings) 'rex', # jav (77 firings) ' Jav', # cir (75 firings) ' Cir', # hobby (70 firings) ' Hobby', # gau (69 firings) ' Gau', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'has-family', 1 def prog_L06F21954(input_tokens): """2 token families, 3 surface forms (train F1 of the uncapped optimum: 0.093). Fires at 48,343 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to deaths or incidents involving individuals""" # --- end external annotation --- fire = { # of (35,841 firings) ' of', ' Of', # kill (337 firings) ' killed', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'of-family', 1 def prog_L06F21955(input_tokens): """8 token families, 12 surface forms (train F1 of the uncapped optimum: 0.802). Fires at 9,316 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of "Internet." """ # --- end external annotation --- fire = { # internet (6,084 firings) ' Internet', ' internet', 'Internet', 'internet', # net (346 firings) ' Net', # iot (160 firings) ' IoT', # aid (143 firings) ' AIDS', # offline (110 firings) 'Offline', # arcade (87 firings) ' Arcade', # unix (73 firings) ' Unix', 'Unix', # network (29 firings) 'Network', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'internet-family', 1 def prog_L06F21956(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.272). Fires at 111,430 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "to" """ # --- end external annotation --- fire = { # to (108,954 firings) ' to', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'to-family', 1 def prog_L06F21957(input_tokens): """44 token families, 54 surface forms (train F1 of the uncapped optimum: 0.631). Fires at 8,066 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to torrenting and file-sharing""" # --- end external annotation --- fire = { # torrent (619 firings) ' torrent', 'Torrent', ' Torrent', # rent (260 firings) 'rent', ' Rent', # fin (242 firings) ' fin', # tor (222 firings) 'tor', # pir (174 firings) ' pir', ' Pir', # track (173 firings) ' tracker', ' Tracker', 'Tracker', # allan (158 firings) ' Allan', # extradi (146 firings) ' extradition', # download (120 firings) ' downloads', # rainfall (116 firings) ' rainfall', # [/ (112 firings) '[/', ' [/', # clamp (109 firings) ' clamp', # dropbox (108 firings) ' Dropbox', # fugit (101 firings) ' fugitive', # vinyl (101 firings) ' vinyl', # album (98 firings) ' Album', # pload (89 firings) 'pload', # abyt (83 firings) 'abytes', # takedown (81 firings) ' takedown', # extrad (78 firings) ' extrad', # rar (77 firings) 'rar', # dmca (69 firings) ' DMCA', # franoi (68 firings) ' François', # boyle (65 firings) ' Boyle', # mbp (62 firings) 'Mbps', # disconnect (61 firings) ' disconnect', # hud (44 firings) ' Hud', # uri (44 firings) ' Uri', ' URI', # diff (43 firings) ' diff', # regist (42 firings) ' regist', # asar (42 firings) 'asar', # fug (41 firings) ' fug', # antiv (40 firings) ' antiv', # ansom (37 firings) 'ansom', # eth (36 firings) ' ether', # orr (33 firings) 'orr', # aval (31 firings) ' Aval', # depr (30 firings) ' deprive', # anonym (30 firings) ' anonym', # mpeg (27 firings) ' MPEG', 'mpeg', # depri (26 firings) ' depri', # thumbnail (25 firings) ' thumbnail', # attach (24 firings) ' attachments', 'Attach', # radiator (21 firings) ' radiator', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'torrent-family', 1 def prog_L06F21958(input_tokens): """8 token families, 9 surface forms (train F1 of the uncapped optimum: 0.193). Fires at 153,782 of 36,786,566 positions. Fires at 0.42% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: names of individuals involved in controversy or conflict""" # --- end external annotation --- fire = { # trump (4,961 firings) ' Trump', # mr (1,687 firings) ' Mr', # clinton (1,398 firings) ' Clinton', # obama (1,167 firings) ' Obama', # j (513 firings) 'j', # sand (485 firings) ' Sanders', # paul (467 firings) ' Paul', # jon (463 firings) ' Jones', 'Jones', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'trump-family', 1 def prog_L06F21959(input_tokens): """12 token families, 22 surface forms (train F1 of the uncapped optimum: 0.165). Fires at 341,408 of 36,786,566 positions. Fires at 0.93% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to legal accusations and intentionality""" # --- end external annotation --- fire = { # - (35,430 firings) '-', # � (9,544 firings) ' �', # t (6,031 firings) 't', 'ét', # re (2,673 firings) 're', # very (1,926 firings) ' very', 'very', ' VERY', # and (1,286 firings) 'and', # far (1,149 firings) ' far', 'far', # edit (1,103 firings) ' edit', ' edited', # un (983 firings) ' un', 'un', # ly (976 firings) 'ly', # quite (968 firings) ' quite', 'quite', 'Quite', ' Quite', # c (920 firings) 'c', ' c', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1 def prog_L06F21960(input_tokens): """4 token families, 8 surface forms (train F1 of the uncapped optimum: 0.268). Fires at 12,856 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the phrase "something else." """ # --- end external annotation --- fire = { # else (1,785 firings) ' else', ' Else', 'else', 'Else', # elsewhere (307 firings) ' elsewhere', # otherwise (176 firings) ' otherwise', # oth (154 firings) 'other', 'OTHER', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'else-family', 1 def prog_L06F21961(input_tokens): """5 token families, 5 surface forms (train F1 of the uncapped optimum: 0.044). Fires at 24,887 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to sentencing and prison terms""" # --- end external annotation --- fire = { # to (15,299 firings) ' to', # fac (134 firings) ' faces', # worth (86 firings) ' worth', # suspend (73 firings) ' suspended', # prison (69 firings) ' prison', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'to-family', 1 def prog_L06F21962(input_tokens): """36 token families, 45 surface forms (train F1 of the uncapped optimum: 0.778). Fires at 6,547 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to Mars and related terms""" # --- end external annotation --- fire = { # mar (1,458 firings) ' Mars', ' MAR', 'Mars', ' mars', # lunar (285 firings) ' lunar', ' Lunar', # rov (232 firings) ' rover', # planetary (211 firings) ' planetary', ' Planetary', # planet (182 firings) ' planets', # martian (170 firings) ' Martian', # mast (170 firings) ' Mast', ' mast', 'mast', # rail (165 firings) ' Rails', # venu (164 firings) ' Venus', # curios (146 firings) ' Curiosity', # antarctica (113 firings) ' Antarctica', # microb (105 firings) ' microbial', ' microbes', # iss (100 firings) ' ISS', # surpas (100 firings) ' surpass', # extrat (99 firings) ' extrater', # deport (84 firings) ' deport', # oplan (81 firings) 'oplan', # terra (80 firings) ' Terra', # sclerosi (77 firings) ' sclerosis', # maco (70 firings) ' macOS', # stem (62 firings) ' STEM', 'STEM', # prost (56 firings) ' prost', # deu (55 firings) ' Deus', # mri (55 firings) 'MRI', # microbiome (46 firings) ' microbiome', # aration (45 firings) 'arations', # als (40 firings) ' ALS', # cer (39 firings) ' Ceres', # aru (38 firings) 'arus', # mare (36 firings) ' Mare', # rem (32 firings) ' remed', # gres (32 firings) 'gress', # petra (29 firings) ' Petra', # kush (27 firings) ' Kush', # metast (22 firings) ' metast', # are (21 firings) ' Ares', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'mar-family', 1 def prog_L06F21963(input_tokens): """49 token families, 55 surface forms (train F1 of the uncapped optimum: 0.681). Fires at 9,915 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "na" and its variations, suggesting a focus on phrases that describe a state or condition""" # --- end external annotation --- fire = { # na (257 firings) ' na', 'Na', # bu (162 firings) ' bu', # para (155 firings) ' para', ' paras', # ya (155 firings) ' ya', ' Ya', # opa (148 firings) 'opa', # bel (146 firings) ' belly', # olla (144 firings) 'olla', # aney (139 firings) 'aney', # mas (135 firings) ' mas', # naw (131 firings) ' Naw', # mi (131 firings) ' mi', # ana (128 firings) ' Ana', ' ana', # ra (117 firings) ' ra', # brennan (114 firings) ' Brennan', # sta (111 firings) 'sta', ' STA', # pa (104 firings) ' pa', # oca (103 firings) 'oca', # osta (102 firings) 'osta', # enei (100 firings) 'enei', # navajo (95 firings) ' Navajo', # pil (91 firings) ' pil', # opera (91 firings) ' Opera', # nou (86 firings) ' Nou', # underpin (83 firings) ' underpin', # loch (80 firings) ' Loch', # valid (80 firings) ' validity', # ye (77 firings) ' ye', # noon (75 firings) ' Noon', # dat (71 firings) ' dat', # ng (68 firings) ' ng', # sana (67 firings) ' Sana', # donn (65 firings) ' Donn', # nah (65 firings) ' Nah', 'nah', # powershell (64 firings) ' PowerShell', # si (64 firings) ' si', # aw (61 firings) 'Aw', # yo (59 firings) ' yo', # ta (58 firings) ' ta', # nas (58 firings) ' Nass', # bek (56 firings) 'bek', # clo (56 firings) ' clo', # decon (55 firings) ' decon', # pier (55 firings) ' pier', # sein (53 firings) 'sein', # tha (52 firings) ' tha', # sop (52 firings) ' Sop', # ajo (48 firings) 'ajo', # nay (47 firings) ' Nay', # ni (40 firings) ' ni', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'na-family', 1 def prog_L06F21964(input_tokens): """15 token families, 20 surface forms (train F1 of the uncapped optimum: 0.250). Fires at 107,577 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: proper nouns, specifically names of people""" # --- end external annotation --- fire = { # f (547 firings) ' F', # g (524 firings) ' G', # smith (517 firings) ' Smith', # o (486 firings) ' O', # brown (452 firings) ' Brown', # e (447 firings) ' E', # jon (368 firings) ' Jones', # mc (363 firings) ' Mc', # van (353 firings) ' Van', ' van', # de (350 firings) ' De', # mill (344 firings) ' Miller', ' Mills', ' Mill', # william (328 firings) ' Williams', # sch (327 firings) ' Sch', ' SCH', ' Scher', # mcc (308 firings) ' McC', # johnson (281 firings) ' Johnson', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'f-family', 1 def prog_L06F21965(input_tokens): """45 token families, 59 surface forms (train F1 of the uncapped optimum: 0.643). Fires at 11,103 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to dietary supplements""" # --- end external annotation --- fire = { # supple (319 firings) ' supplement', ' supplements', 'Supplement', ' Supplement', # suppl (282 firings) ' supplies', # bolst (243 firings) ' bolster', # expedi (239 firings) ' expedition', ' Expedition', # capsule (166 firings) ' capsule', # augment (160 firings) ' augmented', # dop (146 firings) ' doping', # dossi (140 firings) ' dossier', # norton (134 firings) ' Norton', # pill (125 firings) ' pills', # reprint (122 firings) ' reprinted', ' reprint', # nun (121 firings) ' Nunes', # supplement (121 firings) ' supplemental', ' Supplemental', ' supplemented', # ada (113 firings) 'ADA', # boost (112 firings) ' booster', ' Booster', ' boosters', # steroid (109 firings) ' steroids', ' steroid', # lement (109 firings) 'lements', 'lement', # patreon (90 firings) ' Patreon', # berman (89 firings) ' Berman', # omega (87 firings) ' Omega', # swanson (81 firings) ' Swanson', # tabletop (81 firings) ' tabletop', # suzanne (80 firings) ' Suzanne', # tc (79 firings) ' TC', # etf (79 firings) ' ETF', 'ETF', # sup (77 firings) ' supers', ' SUP', # nutri (68 firings) ' Nutrition', 'nutrition', # bolster (67 firings) ' bolstered', # deficiency (66 firings) ' deficiency', # phelp (59 firings) ' Phelps', # olympia (58 firings) ' Olympia', # adjunct (57 firings) ' adjunct', # deficienc (53 firings) ' deficiencies', # zinc (53 firings) ' zinc', # defend (53 firings) ' Defenders', # mushroom (53 firings) ' mushroom', # rint (51 firings) 'rint', # endium (49 firings) 'endium', # aug (49 firings) ' augment', # booklet (49 firings) ' booklet', # powder (44 firings) ' powdered', # reon (43 firings) 'reon', # iciency (43 firings) 'iciency', # stock (43 firings) ' stocking', # garmin (38 firings) ' Garmin', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'supple-family', 1 def prog_L06F21966(input_tokens): """11 token families, 42 surface forms (train F1 of the uncapped optimum: 0.153). Fires at 452,785 of 36,786,566 positions. Fires at 1.23% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: legal terminology and concepts""" # --- end external annotation --- fire = { # to (5,966 firings) ' to', # work (2,714 firings) ' work', ' working', ' works', ' worked', 'work', 'working', 'works', ' workings', ' WORK', 'workers', 'worked', # it (2,591 firings) ' it', # year (2,437 firings) ' years', 'year', 'years', ' YEAR', # you (2,091 firings) ' you', # time (1,670 firings) ' time', # project (1,520 firings) ' project', ' projects', ' Project', ' projected', 'project', ' Projects', # up (1,492 firings) ' up', # people (1,471 firings) ' people', # design (1,138 firings) ' designed', ' design', ' designing', ' Design', ' designs', ' designer', 'designed', ' Designer', ' Designed', # charg (1,133 firings) ' charges', ' charged', 'charged', ' charger', 'charges', 'Charges', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'to-family', 1 def prog_L06F21967(input_tokens): """7 token families, 17 surface forms (train F1 of the uncapped optimum: 0.070). Fires at 117,480 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to government and political themes""" # --- end external annotation --- fire = { # has (3,097 firings) ' has', # said (1,946 firings) ' said', # announc (922 firings) ' announced', ' announces', # official (737 firings) ' officials', ' officially', # govern (632 firings) ' government', ' governments', 'Government', ' Governments', ' governs', # say (516 firings) ' say', ' Says', ' Say', # offic (382 firings) ' official', ' offices', 'official', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'has-family', 1 def prog_L06F21968(input_tokens): """45 token families, 51 surface forms (train F1 of the uncapped optimum: 0.618). Fires at 7,806 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to advisory roles and councils""" # --- end external annotation --- fire = { # advisory (468 firings) ' advisory', ' Advisory', # consult (238 firings) ' consulting', ' Consulting', # advisor (164 firings) ' advisors', ' Advisor', # austrian (163 firings) ' Austrian', # ogen (139 firings) 'ogenic', # important (135 firings) ' Important', 'Important', # allison (132 firings) ' Allison', # monica (125 firings) ' Monica', # government (110 firings) 'governmental', # advi (108 firings) ' Advis', ' advis', # therapeut (107 firings) ' therapeutic', # ayan (103 firings) 'ayan', # aran (102 firings) 'aran', # accessory (100 firings) ' accessory', # honorary (96 firings) ' honorary', # advis (91 firings) ' advising', ' advises', # oro (80 firings) 'oro', # solution (79 firings) ' Solutions', # otive (78 firings) 'otive', # é (77 firings) ' é', # ilater (77 firings) 'ilateral', # chair (77 firings) ' chaired', # bulletin (75 firings) ' bulletin', # erey (65 firings) 'erey', # eclect (65 firings) ' eclectic', # informat (63 firings) ' informative', # anian (59 firings) 'anian', # director (57 firings) ' Directors', # authoritat (54 firings) ' authoritative', # consultancy (52 firings) ' consultancy', # inform (51 firings) ' informational', # expert (51 firings) ' Expert', # anic (51 firings) 'anical', # sandy (49 firings) ' sandy', # visory (48 firings) 'visory', # ay (48 firings) ' ay', # editor (48 firings) ' Editorial', # bind (47 firings) 'binding', # agency (46 firings) 'agency', # minister (45 firings) ' ministerial', # denise (45 firings) ' Denise', # brokerage (44 firings) ' brokerage', # discretionary (44 firings) ' discretionary', # observ (36 firings) ' observational', # instruction (34 firings) ' instructional', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'advisory-family', 1 def prog_L06F21969(input_tokens): """45 token families, 63 surface forms (train F1 of the uncapped optimum: 0.644). Fires at 33,313 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to imaging and measurement technologies""" # --- end external annotation --- fire = { # ograph (1,116 firings) 'ographer', 'ograph', 'ographic', 'ographers', 'ographical', 'ographs', 'ographed', 'ographies', # ography (644 firings) 'ography', # omet (301 firings) 'ometer', 'ometers', # ocrat (254 firings) 'ocrat', 'ocrats', 'ocratic', 'ocrates', # ology (227 firings) 'ology', # osphere (209 firings) 'osphere', # ivity (206 firings) 'ivity', # oan (198 firings) 'oğan', 'oan', # ocese (193 firings) 'ocese', # olith (191 firings) 'olithic', 'olith', # ophobia (187 firings) 'ophobia', # ogram (181 firings) 'ogram', 'ograms', # imet (165 firings) 'imeter', 'imeters', 'imet', # ophob (160 firings) 'ophobic', 'ophob', # ozy (144 firings) 'ozy', # zuckerberg (142 firings) ' Zuckerberg', # oha (138 firings) 'oha', # ive (136 firings) 'iveness', # owitz (131 firings) 'owitz', # ogen (127 firings) 'ogenic', 'ogenous', # otechnology (126 firings) 'otechnology', # atra (126 firings) 'atra', # athon (124 firings) 'athon', # ocracy (123 firings) 'ocracy', # rome (123 firings) 'rome', # exceptional (116 firings) ' exceptionally', # utra (116 firings) 'utra', # osc (115 firings) 'osc', # awatt (115 firings) 'awatts', # plane (115 firings) 'plane', # posium (113 firings) 'posium', # abyt (107 firings) 'abytes', # orpg (105 firings) 'ORPG', # ophile (104 firings) 'ophile', # ron (102 firings) 'rones', # opia (99 firings) 'opia', # opo (97 firings) 'opoly', # oise (97 firings) 'oise', # atham (94 firings) 'atham', # obia (92 firings) 'obia', # eer (90 firings) 'eering', # orama (90 firings) 'orama', # screenplay (89 firings) ' screenplay', # partisan (89 firings) 'partisan', # opathy (88 firings) 'opathy', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ograph-family', 1 def prog_L06F21970(input_tokens): """25 token families, 31 surface forms (train F1 of the uncapped optimum: 0.740). Fires at 6,139 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to virtual reality environments and concepts""" # --- end external annotation --- fire = { # virtu (1,949 firings) ' virtual', ' Virtual', 'Virtual', 'virtual', # ultimate (377 firings) ' Ultimate', 'Ultimate', # sy (196 firings) ' sy', # videog (174 firings) ' videog', # augment (170 firings) ' augmented', # immers (97 firings) ' immersive', # holog (87 firings) ' holog', # sam (86 firings) ' sam', # vouch (84 firings) ' vouchers', ' voucher', # kio (82 firings) ' kios', # vag (66 firings) ' Vag', 'vag', # hern (65 firings) 'hern', # vend (60 firings) ' vending', # avatar (50 firings) ' avatar', # simulat (46 firings) ' simulated', # pav (45 firings) ' pav', # omorph (43 firings) 'omorphic', # raph (41 firings) 'raphic', # lunar (40 firings) ' Lunar', # atar (38 firings) 'atars', # bek (34 firings) 'bek', # virt (33 firings) 'virt', # phantom (26 firings) ' phantom', # resent (24 firings) 'resent', # vik (19 firings) 'vik', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'virtu-family', 1 def prog_L06F21971(input_tokens): """15 token families, 34 surface forms (train F1 of the uncapped optimum: 0.226). Fires at 1,154,246 of 36,786,566 positions. Fires at 3.14% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: newsworthy political events and discussions""" # --- end external annotation --- fire = { # a (62,587 firings) ' a', 'A', ' A', # has (27,045 firings) ' has', # aft (13,120 firings) ' after', # have (11,119 firings) ' have', # been (11,068 firings) ' been', # week (8,550 firings) ' week', ' weeks', 'week', ' Weeks', # year (7,006 firings) ' year', ' years', # two (6,424 firings) ' two', 'Two', ' Two', # new (6,111 firings) ' new', ' newly', ' Newly', # month (5,195 firings) ' month', ' months', 'month', ' Months', # over (4,335 firings) ' over', # day (3,838 firings) ' days', ' day', 'day', 'Days', # president (3,333 firings) ' presidential', ' President', # washington (3,300 firings) 'WASHINGTON', ' Washington', 'Washington', # thursday (3,104 firings) ' Thursday', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'a-family', 1 def prog_L06F21972(input_tokens): """16 token families, 23 surface forms (train F1 of the uncapped optimum: 0.769). Fires at 16,791 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "questions." """ # --- end external annotation --- fire = { # question (5,286 firings) ' questions', ' questioning', ' Questions', 'Questions', # ques (4,995 firings) ' question', ' Question', 'Question', 'question', # wonder (345 firings) ' wondering', # faq (186 firings) ' FAQ', 'FAQ', # doubt (162 firings) ' doubts', # quer (143 firings) ' queries', # quiz (141 firings) ' quiz', # inquir (110 firings) ' inquiries', # quizz (79 firings) ' quizz', # ama (76 firings) ' AMA', # questionnaire (73 firings) ' questionnaire', # inqu (71 firings) ' inqu', # trivia (69 firings) ' trivia', # interview (63 firings) ' interviewer', # grassley (51 firings) ' Grassley', # misconception (50 firings) ' misconceptions', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'question-family', 1 def prog_L06F21973(input_tokens): """31 token families, 36 surface forms (train F1 of the uncapped optimum: 0.830). Fires at 5,811 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the term "crony" in various contexts related to economic and political critique""" # --- end external annotation --- fire = { # cr (2,309 firings) ' cr', ' Cr', 'cr', 'Cr', # ec (300 firings) ' Ec', ' ec', # crust (177 firings) ' crust', # bryce (136 firings) ' Bryce', # 2022 (125 firings) ' 2022', # cron (122 firings) ' Cron', # crane (105 firings) ' crane', # crank (96 firings) ' crank', # ocr (91 firings) 'ocr', # rica (91 firings) ' Rica', # cringe (70 firings) ' cringe', # crat (67 firings) ' crater', # bureaucr (53 firings) ' bureaucr', # pseud (51 firings) ' pseud', # circ (50 firings) ' circ', # geh (49 firings) ' Geh', # protr (48 firings) ' protr', # overth (48 firings) ' overth', # appar (47 firings) ' appar', # desc (46 firings) ' desc', # cradle (43 firings) ' cradle', # extr (43 firings) ' extr', # crumbl (42 firings) ' crumbling', # pse (37 firings) ' Pse', ' pse', # crumble (36 firings) ' crumble', # ryce (34 firings) 'ryce', # occ (34 firings) ' occ', # curl (27 firings) ' curl', # eb (24 firings) ' eb', # plast (19 firings) ' plaster', # 236 (16 firings) ' 236', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'cr-family', 1 def prog_L06F21974(input_tokens): """46 token families, 55 surface forms (train F1 of the uncapped optimum: 0.721). Fires at 11,192 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the term "sid" and its variations in context""" # --- end external annotation --- fire = { # sid (468 firings) ' Sid', ' sid', 'sided', 'sid', # tayyip (298 firings) ' Tayyip', # trad (205 firings) ' Trad', ' trad', # tid (191 firings) ' tid', ' Tid', # ped (186 firings) ' Ped', # tyson (165 firings) ' Tyson', # theft (162 firings) ' Theft', # vind (153 firings) 'vind', # petty (146 firings) ' petty', ' Petty', # sanford (144 firings) ' Sanford', # background (144 firings) 'Background', # inda (142 firings) 'inda', # gavin (135 firings) ' Gavin', # sidney (129 firings) ' Sidney', # hardt (125 firings) 'hardt', # brid (122 firings) ' Brid', ' brid', # idi (119 firings) 'idi', # pedd (118 firings) ' pedd', # spac (115 firings) ' spac', ' Spac', # tang (112 firings) ' tang', # ando (107 firings) 'ando', # stad (103 firings) 'stad', # din (98 firings) ' Din', # obsc (86 firings) ' obsc', # sett (84 firings) ' Sett', 'sett', # redist (83 firings) ' redist', # rend (79 firings) ' rend', # dialect (79 firings) ' dialect', # hand (78 firings) ' handic', # sand (77 firings) ' Sands', # buck (77 firings) 'buck', # idad (67 firings) 'idad', # sidd (67 firings) ' Sidd', # butt (66 firings) ' Butt', # 380 (66 firings) '380', # sandbox (66 firings) ' sandbox', # ippy (62 firings) 'ippy', # desmond (61 firings) ' Desmond', # gri (60 firings) ' Gri', # polit (60 firings) ' polit', # tav (59 firings) ' Tav', # trop (56 firings) ' Trop', # sadd (54 firings) ' Sadd', # gast (54 firings) ' gast', # ast (53 firings) ' Aster', # brune (52 firings) ' Brune', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'sid-family', 1 def prog_L06F21975(input_tokens): """8 token families, 14 surface forms (train F1 of the uncapped optimum: 0.069). Fires at 83,399 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to the action of launching initiatives or campaigns""" # --- end external annotation --- fire = { # a (15,190 firings) ' a', # an (3,359 firings) ' an', # its (2,207 firings) ' its', # new (1,841 firings) ' new', # launch (1,223 firings) ' launch', ' launched', ' launching', ' launches', 'launch', # campaign (541 firings) ' campaign', ' campaigns', # effort (313 firings) ' effort', ' efforts', # major (228 firings) ' major', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'a-family', 1 def prog_L06F21976(input_tokens): """13 token families, 14 surface forms (train F1 of the uncapped optimum: 0.172). Fires at 122,916 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: proper nouns, particularly names and surnames""" # --- end external annotation --- fire = { # man (869 firings) 'man', 'mans', # i (843 firings) 'i', # o (713 firings) 'o', # on (608 firings) 'on', # er (603 firings) 'er', # ie (576 firings) 'ie', # en (547 firings) 'en', # ley (533 firings) 'ley', # an (531 firings) 'an', # is (476 firings) 'is', # z (396 firings) 'z', # ner (332 firings) 'ner', # son (315 firings) 'son', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'man-family', 1 def prog_L06F21977(input_tokens): """7 token families, 12 surface forms (train F1 of the uncapped optimum: 0.144). Fires at 31,027 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases that indicate struggling with various personal or mental health challenges""" # --- end external annotation --- fire = { # with (13,291 firings) ' with', # fac (931 firings) ' facing', ' faced', # battl (434 firings) ' battling', ' battled', # experienc (184 firings) ' experiencing', # overcome (113 firings) ' overcome', # endur (86 firings) ' endured', ' enduring', # confront (82 firings) ' confront', ' confronting', ' confronts', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'with-family', 1 def prog_L06F21978(input_tokens): """34 token families, 40 surface forms (train F1 of the uncapped optimum: 0.561). Fires at 7,491 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to medications and their prescriptions""" # --- end external annotation --- fire = { # drug (469 firings) ' drugs', # medicine (400 firings) ' medicine', # pill (388 firings) ' pills', ' pill', # pharmaceut (334 firings) ' pharmaceutical', ' Pharmaceutical', # medica (230 firings) ' medication', # treat (205 firings) ' treatments', # medication (166 firings) ' medications', # psychiatrist (159 firings) ' psychiatrist', ' psychiatrists', # therapy (136 firings) ' therapy', # medicin (133 firings) ' medicines', # prescrib (120 firings) ' prescribed', # vaccine (119 firings) ' vaccine', # kill (118 firings) 'killers', 'killer', # antidepressant (103 firings) ' antidepressants', ' antidepressant', # imen (59 firings) 'imen', 'imens', # ratom (56 firings) 'ratom', # counsel (54 firings) ' counseling', # het (53 firings) 'heter', # regimen (49 firings) ' regimen', # narcotic (48 firings) ' narcotics', # morphine (45 firings) ' morphine', # neurotran (42 firings) ' neurotrans', # lydia (40 firings) ' Lydia', # aspirin (39 firings) ' aspirin', # bipolar (39 firings) ' bipolar', # intervention (38 firings) ' interventions', # psychiatry (36 firings) ' psychiatry', # hyperten (33 firings) ' hypertension', # idine (28 firings) 'idine', # prescribe (28 firings) ' prescribe', # agra (25 firings) 'agra', # workaround (24 firings) ' workaround', # ophen (19 firings) 'ophen', # dosage (19 firings) ' dosage', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'drug-family', 1 def prog_L06F21979(input_tokens): """21 token families, 35 surface forms (train F1 of the uncapped optimum: 0.222). Fires at 43,972 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to career-high statistics in sports""" # --- end external annotation --- fire = { # high (2,180 firings) ' high', ' highest', 'high', ' highs', 'highest', ' HIGH', ' Highest', # record (1,162 firings) ' record', 'record', ' Record', # champion (603 firings) ' champion', ' Champion', ' champions', # double (546 firings) ' double', 'double', # larg (499 firings) ' largest', # tot (413 firings) ' total', # straight (338 firings) ' straight', 'straight', # gold (336 firings) ' gold', # winn (251 firings) 'winning', 'winner', # consecut (238 firings) ' consecutive', # milestone (219 firings) ' milestone', # long (178 firings) ' longest', # multi (174 firings) ' multi', # crim (168 firings) ' crimes', # break (166 firings) 'breaking', # triple (141 firings) ' triple', ' Triple', # med (137 firings) ' medal', # whopp (135 firings) ' whopping', # streak (129 firings) ' streak', # best (125 firings) 'best', # fast (112 firings) ' fastest', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'high-family', 1 def prog_L06F21980(input_tokens): """20 token families, 37 surface forms (train F1 of the uncapped optimum: 0.315). Fires at 52,689 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to embodiment, manifestation, and incarnation, often in political or philosophical contexts""" # --- end external annotation --- fire = { # ver (632 firings) ' version', 'version', # example (564 firings) ' example', # product (411 firings) ' product', 'product', 'products', # victim (383 firings) ' victim', # representat (375 firings) ' representative', ' representatives', # adapta (280 firings) ' adaptation', # shadow (213 firings) ' shadow', ' shadows', 'shadow', # version (205 firings) ' versions', 'versions', # reflec (195 firings) ' reflection', # symbol (194 firings) ' symbol', ' symbols', # exampl (194 firings) ' examples', ' Examples', 'Examples', # expres (189 firings) ' expression', 'expression', # exten (186 firings) ' extension', # height (164 firings) ' height', # itera (156 firings) ' iteration', # blow (155 firings) ' blow', # echo (148 firings) ' echo', ' echoes', 'echo', ' echoing', # ess (147 firings) ' essence', 'esses', ' Essence', 'essment', # defini (144 firings) ' definition', # portrait (133 firings) ' portrait', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ver-family', 1 def prog_L06F21981(input_tokens): """19 token families, 34 surface forms (train F1 of the uncapped optimum: 0.740). Fires at 11,393 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to prisons and incarceration""" # --- end external annotation --- fire = { # prison (3,788 firings) ' prison', ' prisons', ' Prison', ' prisoners', ' prisoner', 'prison', # jail (1,432 firings) ' jail', ' Jail', ' jails', # deten (601 firings) ' detention', ' Detention', # imprison (308 firings) ' imprisoned', ' imprisonment', ' imprison', # correction (287 firings) ' Corrections', ' Correctional', ' correctional', ' corrections', # guantanamo (189 firings) ' Guantanamo', # pr (141 firings) 'Pr', # incarcera (126 firings) ' incarceration', # pen (124 firings) ' penal', ' Penal', # confine (106 firings) ' confinement', # arkham (105 firings) ' Arkham', # ison (105 firings) 'ISON', 'isons', # incarcerat (90 firings) ' incarcerated', # auschwitz (66 firings) ' Auschwitz', # ihar (45 firings) 'ihar', # guant (45 firings) ' Guant', # png (33 firings) ' PNG', # hogwart (29 firings) ' Hogwarts', # labyrinth (29 firings) ' Labyrinth', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'prison-family', 1 def prog_L06F21982(input_tokens): """31 token families, 39 surface forms (train F1 of the uncapped optimum: 0.740). Fires at 11,387 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "ag" in various contexts""" # --- end external annotation --- fire = { # ig (3,888 firings) 'ig', 'IG', ' ig', # rig (300 firings) 'rig', ' Rig', # lig (242 firings) ' lig', 'lig', # iger (233 firings) 'iger', # oug (193 firings) 'oug', # miguel (190 firings) ' Miguel', # igs (186 firings) 'igs', # gig (153 firings) ' Gig', # zig (147 firings) 'zig', ' Zig', # wig (132 firings) ' wig', 'wig', # iga (131 firings) 'iga', # igo (117 firings) 'igo', # pig (99 firings) ' Pig', # mig (90 firings) ' Mig', ' mig', # lich (84 firings) 'lich', # igel (80 firings) 'igel', # dou (65 firings) 'Dou', # dig (65 firings) 'dig', # berk (64 firings) ' Berk', # igi (62 firings) 'igi', # __ (56 firings) '__', # igg (51 firings) 'igger', # nig (45 firings) ' Nig', ' nig', # igne (42 firings) 'igne', # eyel (41 firings) ' eyel', # aber (40 firings) 'aber', # igil (39 firings) 'igil', # fairy (39 firings) ' Fairy', # ________ (34 firings) '________', # ー (34 firings) 'ー', # ー� (31 firings) 'ー�', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ig-family', 1 def prog_L06F21983(input_tokens): """34 token families, 35 surface forms (train F1 of the uncapped optimum: 0.451). Fires at 2,931 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: special characters or non-standard symbols in the text""" # --- end external annotation --- fire = { # semif (99 firings) ' semif', # iny (82 firings) 'iny', # lowe (80 firings) ' Lowe', # м (78 firings) 'м', # dup (69 firings) ' Dup', # finalist (58 firings) ' finalists', # ———— (52 firings) '————', # kle (43 firings) ' Kle', # supplement (41 firings) ' Supplemental', # cut (37 firings) 'Cut', # nette (36 firings) 'nette', # τ (33 firings) 'τ', # sug (33 firings) ' Sug', # incom (32 firings) ' incom', # sponge (27 firings) ' Sponge', # shrunk (25 firings) ' shrunk', # slight (22 firings) ' Slightly', # unc (22 firings) ' UNC', # ———————— (21 firings) '————————', # て (20 firings) 'て', # uper (20 firings) 'uper', # ∼ (18 firings) ' ∼', # ト (14 firings) 'ト', # ↑ (14 firings) ' ↑', '↑', # roxy (13 firings) 'roxy', # >= (13 firings) ' >=', # し (13 firings) 'し', # ille (12 firings) 'ILLE', # プ (11 firings) 'プ', # centimet (11 firings) ' centimeters', # bonu (10 firings) 'Bonus', # מ (9 firings) 'מ', # ------------ (9 firings) '------------', # ++ (8 firings) ' ++', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'semif-family', 1 def prog_L06F21984(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.549). Fires at 28,116 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "one" with varying contexts indicating unity or singularity""" # --- end external annotation --- fire = { # one (24,490 firings) ' one', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'one-family', 1 def prog_L06F21985(input_tokens): """10 token families, 12 surface forms (train F1 of the uncapped optimum: 0.781). Fires at 8,287 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the word "completely" and its variants in various contexts""" # --- end external annotation --- fire = { # complete (2,525 firings) ' completely', 'completely', # entire (1,051 firings) ' entirely', # total (921 firings) ' totally', ' Totally', # thorough (265 firings) ' thoroughly', # fundamental (223 firings) ' fundamentally', # utter (208 firings) ' utterly', # drastical (170 firings) ' drastically', # radical (149 firings) ' radically', # otal (87 firings) 'otally', # hand (28 firings) 'handedly', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'complete-family', 1 def prog_L06F21986(input_tokens): """34 token families, 37 surface forms (train F1 of the uncapped optimum: 0.553). Fires at 6,723 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to touchdowns in sports contexts""" # --- end external annotation --- fire = { # touchdown (615 firings) ' touchdown', ' touchdowns', # championship (587 firings) ' championship', ' championships', # delici (361 firings) ' delicious', # test (247 firings) ' Test', # tasty (121 firings) ' tasty', # hom (114 firings) ' homer', ' homers', # td (96 firings) ' TD', # interception (80 firings) ' interceptions', # intercep (75 firings) ' interception', # heisman (73 firings) ' Heisman', # verb (70 firings) ' verb', # thc (70 firings) ' THC', # reception (69 firings) ' receptions', # catchy (62 firings) ' catchy', # rebound (59 firings) ' rebounds', # iership (58 firings) 'iership', # tds (54 firings) ' TDs', # noun (52 firings) ' noun', # ethanol (50 firings) ' ethanol', # strikeout (47 firings) ' strikeouts', # orgasm (46 firings) ' orgasm', # mbp (45 firings) 'Mbps', # flavor (41 firings) ' flavorful', # fumble (40 firings) ' fumble', # dunk (38 firings) ' dunk', # melody (36 firings) ' melody', # sunrise (34 firings) ' sunrise', # igni (33 firings) ' ignition', # timeout (30 firings) ' timeout', # point (25 firings) 'pointers', # melod (25 firings) ' melodies', # climax (23 firings) ' climax', # righte (22 firings) ' righteous', # abv (20 firings) ' ABV', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'touchdown-family', 1 def prog_L06F21987(input_tokens): """16 token families, 16 surface forms (train F1 of the uncapped optimum: 0.191). Fires at 24,421 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of specific names, particularly those of political figures""" # --- end external annotation --- fire = { # donald (1,177 firings) ' Donald', # john (971 firings) ' John', # | (522 firings) ' |', # (@ (434 firings) ' (@', # invalid (346 firings) ' invalid', # what (220 firings) ' Whats', # house (205 firings) 'House', # speak (196 firings) ' speaks', # urg (181 firings) ' urges', # diane (162 firings) ' Diane', # rodham (156 firings) ' Rodham', # sand (84 firings) 'Sanders', # bernard (79 firings) ' Bernard', # attend (69 firings) ' attends', # bernie (67 firings) 'Bernie', # · (63 firings) ' ·', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'donald-family', 1 def prog_L06F21988(input_tokens): """47 token families, 56 surface forms (train F1 of the uncapped optimum: 0.590). Fires at 20,675 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to destruction or damage""" # --- end external annotation --- fire = { # wreck (382 firings) ' wreck', 'wreck', ' wrecked', # embark (349 firings) ' embark', ' embarked', # park (345 firings) ' parked', # unleash (342 firings) ' unleashed', ' unleash', # strand (215 firings) ' stranded', # ruin (213 firings) ' ruins', ' ruin', # shar (212 firings) ' Shares', # inflict (210 firings) ' inflicted', ' inflict', ' inflicting', # footprint (209 firings) ' footprint', ' footprints', # spree (191 firings) ' spree', # beast (189 firings) ' beast', # rampage (185 firings) ' rampage', # havoc (184 firings) ' havoc', # wre (170 firings) ' wre', # churn (161 firings) ' churn', # slew (161 firings) ' slew', # reck (161 firings) 'reck', ' Reck', # devasta (139 firings) ' devastation', # batter (138 firings) ' battered', # wreckage (136 firings) ' wreckage', # spew (131 firings) ' spew', # zack (126 firings) ' Zack', # cks (118 firings) 'cks', # devastat (116 firings) ' devastated', # onslaught (112 firings) ' onslaught', # tuck (111 firings) ' Tucker', # wip (111 firings) ' wiped', # stre (106 firings) ' stre', # mayhem (104 firings) ' mayhem', # rav (103 firings) ' rav', # crat (102 firings) ' crater', # litter (102 firings) ' littered', # monstr (101 firings) ' monstrous', # rack (96 firings) ' racked', # crippl (95 firings) ' crippled', # carnage (91 firings) ' carnage', # stomp (90 firings) ' stomp', # swath (89 firings) ' swath', # ravag (84 firings) ' ravaged', # bedford (79 firings) ' Bedford', # scourge (76 firings) ' scourge', # perpetrat (76 firings) ' perpetrated', # riddl (75 firings) ' riddled', # ashore (74 firings) ' ashore', # estead (73 firings) 'estead', # dere (71 firings) ' dere', # poop (70 firings) ' poop', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'wreck-family', 1 def prog_L06F21989(input_tokens): """10 token families, 15 surface forms (train F1 of the uncapped optimum: 0.057). Fires at 44,581 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the end of sentences or paragraphs""" # --- end external annotation --- fire = { # new (886 firings) ' new', ' NEW', # man (497 firings) ' man', ' MAN', # group (327 firings) ' group', ' GROUP', ' grouping', # form (323 firings) ' former', # woman (282 firings) ' woman', # study (230 firings) ' study', ' Study', # friend (197 firings) ' friend', # film (170 firings) ' film', # couple (167 firings) ' couple', # guest (146 firings) ' guest', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'new-family', 1 def prog_L06F21990(input_tokens): """26 token families, 52 surface forms (train F1 of the uncapped optimum: 0.239). Fires at 40,088 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to competitive rankings or awards, especially in the context of individuals or entities being recognized""" # --- end external annotation --- fire = { # up (872 firings) 'up', # winn (648 firings) ' winner', ' winners', ' Winner', 'winner', ' Winners', 'Winner', # champion (557 firings) ' champion', ' Champion', ' champions', # elect (514 firings) 'elect', # runn (426 firings) 'runner', ' runner', 'runners', ' runners', 'Runner', # entry (350 firings) ' entry', ' Entry', # year (258 firings) ' Year', # overall (256 firings) ' overall', # selec (245 firings) ' selection', ' Selection', 'selection', # mate (238 firings) ' mate', 'mate', # star (228 firings) 'Star', 'Stars', 'stars', # med (219 firings) ' medal', # play (209 firings) ' Player', # lin (179 firings) 'lining', 'liner', 'liners', # seed (173 firings) ' seed', 'seed', ' seeded', # row (168 firings) ' row', 'rower', # ring (157 firings) 'ring', # prize (156 firings) ' prize', # choice (138 firings) ' Choice', 'choice', # card (135 firings) 'card', 'cards', # uts (132 firings) 'uts', # iser (120 firings) 'iser', # contend (111 firings) ' contenders', ' contender', # hard (108 firings) 'hard', # entr (102 firings) ' entries', # hold (101 firings) ' holder', 'holder', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'up-family', 1 def prog_L06F21991(input_tokens): """22 token families, 30 surface forms (train F1 of the uncapped optimum: 0.695). Fires at 7,353 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to "feet" in various contexts""" # --- end external annotation --- fire = { # feet (1,693 firings) ' feet', 'feet', ' Feet', # foot (1,487 firings) ' foot', 'foot', ' footing', 'footed', 'Foot', # boot (259 firings) ' boots', ' Boots', # ankle (253 firings) ' ankle', # footprint (212 firings) ' footprint', ' footprints', # mil (186 firings) ' Miles', # footstep (161 firings) ' footsteps', # stair (122 firings) ' stairs', # sock (112 firings) ' socks', # floor (98 firings) ' floors', # toe (88 firings) ' toes', # doorstep (83 firings) ' doorstep', # foothold (61 firings) ' foothold', # stride (61 firings) ' stride', # fingertip (53 firings) ' fingertips', # fts (41 firings) 'fts', # ankl (39 firings) ' ankles', # ph (36 firings) ' pH', # paw (36 firings) ' paws', # ranean (33 firings) 'ranean', # misty (28 firings) ' Misty', # ground (19 firings) ' grounding', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'feet-family', 1 def prog_L06F21992(input_tokens): """50 token families, 52 surface forms (train F1 of the uncapped optimum: 0.668). Fires at 14,683 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to international locations and legal contexts""" # --- end external annotation --- fire = { # switzerland (445 firings) ' Switzerland', # geneva (328 firings) ' Geneva', # damascu (316 firings) ' Damascus', # vienna (227 firings) ' Vienna', # haven (226 firings) ' Haven', 'haven', # hague (173 firings) ' Hague', # durham (150 firings) ' Durham', # lavrov (127 firings) ' Lavrov', # sergei (126 firings) ' Sergei', # gene (125 firings) 'Gene', # oslo (122 firings) ' Oslo', # godzilla (121 firings) ' Godzilla', # wembley (120 firings) ' Wembley', # calai (119 firings) ' Calais', # flor (115 firings) ' Florence', # windsor (114 firings) ' Windsor', # il (113 firings) ' IL', # millennium (112 firings) ' Millennium', # hell (111 firings) ' Heller', # gas (110 firings) ' gases', # riyadh (104 firings) ' Riyadh', # eca (103 firings) 'eca', 'ECA', # gen (102 firings) 'GEN', # specific (101 firings) ' specifics', # cann (98 firings) ' Cannes', # zurich (98 firings) ' Zurich', # infrar (97 firings) ' infrared', # copenhagen (96 firings) ' Copenhagen', # idlib (95 firings) ' Idlib', # laurie (94 firings) ' Laurie', # dayton (94 firings) ' Dayton', # goodell (92 firings) ' Goodell', # essa (90 firings) 'essa', # hartford (89 firings) ' Hartford', # norri (87 firings) ' Norris', # kyoto (85 firings) ' Kyoto', # lisbon (83 firings) ' Lisbon', # stra (81 firings) ' Stras', # hyde (81 firings) ' Hyde', # 1949 (81 firings) ' 1949', # louise (80 firings) ' Louise', # lancet (79 firings) ' Lancet', # eva (76 firings) 'EVA', # helsinki (76 firings) ' Helsinki', # insk (71 firings) 'insk', # cornwall (68 firings) ' Cornwall', # hiroshima (65 firings) ' Hiroshima', # naomi (65 firings) ' Naomi', # indiffer (61 firings) ' indifference', # dresden (61 firings) ' Dresden', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'switzerland-family', 1 def prog_L06F21993(input_tokens): """5 token families, 7 surface forms (train F1 of the uncapped optimum: 0.111). Fires at 46,672 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: pronouns, particularly "they" and "it," indicating a focus on subjects and their relationships in statements""" # --- end external annotation --- fire = { # it (8,534 firings) ' it', # they (5,345 firings) ' they', 'they', # he (4,598 firings) ' he', # she (1,372 firings) ' she', # fear (167 firings) ' fear', ' feared', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'it-family', 1 def prog_L06F21994(input_tokens): """41 token families, 59 surface forms (train F1 of the uncapped optimum: 0.588). Fires at 19,382 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to praise or acclaim""" # --- end external annotation --- fire = { # hail (515 firings) ' hailed', ' hail', ' Hail', # blast (449 firings) ' blasted', ' blasting', # await (444 firings) 'awaited', ' awaited', # welcom (427 firings) ' welcomed', # tout (408 firings) ' touted', ' touting', # pra (388 firings) ' praised', # acclaim (365 firings) ' acclaimed', ' acclaim', # proclaim (364 firings) ' proclaimed', ' proclaiming', ' proclaim', 'proclaimed', # celebrat (344 firings) ' celebrated', # ail (305 firings) 'ailing', 'ailed', # greet (289 firings) ' greeted', # bill (283 firings) ' billed', ' billing', # herald (223 firings) ' herald', # glori (203 firings) ' glorious', # laud (200 firings) ' lauded', ' laud', # slamm (196 firings) ' slammed', # crown (170 firings) ' crowned', # overview (160 firings) 'Overview', # roar (153 firings) ' roaring', ' roar', ' roared', # shap (149 firings) ' shaping', # call (140 firings) 'Calling', ' Calling', # mighty (137 firings) ' Mighty', ' mighty', # oft (133 firings) ' oft', # denounc (126 firings) ' denounced', ' denouncing', # reel (117 firings) ' reeling', # breakout (117 firings) ' breakout', # champion (116 firings) ' championed', # accol (113 firings) ' accol', # reet (106 firings) 'reetings', # celebr (104 firings) ' Celebr', ' celebr', # cheer (95 firings) ' cheered', # ounc (90 firings) 'ouncing', # triumphant (84 firings) ' triumphant', # lament (81 firings) ' lamented', # renaiss (80 firings) ' renaissance', # prais (78 firings) ' praises', # cele (68 firings) ' cele', # payday (65 firings) ' payday', # cohn (56 firings) ' Cohn', # synopsi (56 firings) 'Synopsis', # rejoice (51 firings) ' rejoice', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'hail-family', 1 def prog_L06F21995(input_tokens): """36 token families, 40 surface forms (train F1 of the uncapped optimum: 0.756). Fires at 5,941 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to lists or items in a structured format""" # --- end external annotation --- fire = { # li (872 firings) 'li', 'LI', ' li', # • (359 firings) ' •', # lli (313 firings) 'lli', # oni (234 firings) 'oni', # eli (209 firings) ' Eli', 'eli', # lem (202 firings) ' Lem', # colt (195 firings) ' Colts', # fath (172 firings) ' Father', # oli (164 firings) 'oli', # liu (150 firings) ' Liu', # whol (132 firings) ' wholly', # gan (130 firings) ' Gan', # lionel (126 firings) ' Lionel', # lie (124 firings) 'lie', # liga (108 firings) ' Liga', 'liga', # oshi (104 firings) 'oshi', # stre (103 firings) ' stre', # tolkien (103 firings) ' Tolkien', # ti (81 firings) 'ti', # ll (78 firings) ' Ll', # tti (73 firings) 'tti', # del (67 firings) ' DeL', # sweeney (60 firings) ' Sweeney', # zhang (60 firings) ' Zhang', # levi (58 firings) ' Levi', # 330 (49 firings) ' 330', # ogh (46 firings) 'ogh', # manit (46 firings) ' Manit', # lei (39 firings) ' Lei', # cabbage (35 firings) ' cabbage', # lv (35 firings) 'lv', # liv (32 firings) ' Liver', # vertical (31 firings) ' vertically', # liang (25 firings) ' Liang', # eliot (23 firings) ' Eliot', # fraz (18 firings) ' Fraz', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'li-family', 1 def prog_L06F21996(input_tokens): """18 token families, 42 surface forms (train F1 of the uncapped optimum: 0.158). Fires at 191,560 of 36,786,566 positions. Fires at 0.52% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: reports that contain statistical data or findings on social issues""" # --- end external annotation --- fire = { # that (10,959 firings) ' that', # report (3,169 firings) ' report', ' Report', # releas (2,926 firings) ' released', 'released', 'Released', # found (2,032 firings) ' found', # show (1,804 firings) ' shows', ' showed', ' showing', 'shows', # study (1,491 firings) ' study', ' Study', 'study', # announc (1,353 firings) ' announced', # say (1,314 firings) ' says', # publish (1,249 firings) ' published', # wednesday (1,124 firings) ' Wednesday', # warn (956 firings) ' warned', ' warning', ' warns', ' warn', # research (946 firings) ' research', ' researchers', 'Researchers', ' Researchers', 'Research', # suggest (855 firings) ' suggests', ' suggested', ' suggesting', # reveal (832 firings) ' revealed', ' reveals', ' revealing', # issu (790 firings) ' issued', # find (615 firings) ' finds', ' findings', 'finding', # conclud (541 firings) ' concluded', ' concludes', ' concluding', # annu (519 firings) ' annual', ' Annual', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'that-family', 1 def prog_L06F21997(input_tokens): """2 token families, 2 surface forms (train F1 of the uncapped optimum: 0.277). Fires at 2,576 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of the website "twitter.com" """ # --- end external annotation --- fire = { # com (1,703 firings) 'com', # twitt (238 firings) 'twitter', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'com-family', 1 def prog_L06F21998(input_tokens): """48 token families, 48 surface forms (train F1 of the uncapped optimum: 0.693). Fires at 7,387 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the city of Mosul and its associated events or situations""" # --- end external annotation --- fire = { # mosul (381 firings) ' Mosul', # glasgow (341 firings) ' Glasgow', # baghdad (225 firings) ' Baghdad', # airstrik (216 firings) ' airstrikes', # map (216 firings) ' Maps', # pluto (165 firings) ' Pluto', # ramadan (142 firings) ' Ramadan', # nim (124 firings) ' Nim', # katrina (119 firings) ' Katrina', # pesh (116 firings) ' Pesh', # bil (114 firings) 'bil', # rubble (114 firings) ' rubble', # karachi (111 firings) ' Karachi', # yaz (108 firings) ' Yaz', # airstrike (106 firings) ' airstrike', # abram (105 firings) ' Abrams', # trafford (100 firings) ' Trafford', # airo (96 firings) 'airo', # ryzen (91 firings) ' Ryzen', # unesco (90 firings) ' UNESCO', # petraeu (88 firings) ' Petraeus', # rav (86 firings) ' rav', # myra (85 firings) 'myra', # aghd (76 firings) 'aghd', # spear (75 firings) ' Spears', # daesh (74 firings) ' Daesh', # polio (65 firings) ' polio', # retake (60 firings) ' retake', # ujah (59 firings) 'ujah', # manziel (59 firings) ' Manziel', # kun (59 firings) ' Kun', # agar (58 firings) 'agar', # mos (57 firings) 'Mos', # ima (54 firings) 'imation', # ulia (53 firings) 'ulia', # loch (46 firings) ' Loch', # iyah (43 firings) 'iyah', # mar (42 firings) ' mars', # geo (40 firings) ' Geo', # kund (32 firings) ' Kund', # hitman (27 firings) ' Hitman', # unicode (26 firings) ' Unicode', # shinji (24 firings) ' Shinji', # ukong (24 firings) 'ukong', # 6000 (23 firings) ' 6000', # baghd (22 firings) ' Baghd', # upit (22 firings) 'upiter', # mus (21 firings) ' MUS', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'mosul-family', 1 def prog_L06F21999(input_tokens): """30 token families, 38 surface forms (train F1 of the uncapped optimum: 0.675). Fires at 7,674 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to various types of cells in biological contexts, particularly immune and stem cells""" # --- end external annotation --- fire = { # cell (2,686 firings) ' cells', ' cell', ' Cell', ' Cells', 'cells', # organism (248 firings) ' organisms', ' organism', # neuron (246 firings) ' neurons', ' neuronal', ' neuron', # embryo (142 firings) ' embryos', ' embryo', # galax (114 firings) ' galaxies', # organ (96 firings) ' organs', # cellular (75 firings) ' cellular', # lymph (71 firings) ' lymph', # coc (71 firings) ' coc', # leukemia (69 firings) ' leukemia', # nucle (61 firings) ' nucle', # regen (51 firings) ' regener', # marrow (48 firings) ' marrow', # llular (47 firings) 'llular', # rna (47 firings) ' RNA', # obl (45 firings) 'obl', # embryon (38 firings) ' embryonic', # bud (36 firings) ' buds', # acteria (34 firings) 'acteria', # ube (30 firings) 'ubes', # ocyt (29 firings) 'ocytes', # ucle (29 firings) 'ucle', # differentia (25 firings) ' differentiation', # deriv (25 firings) 'derived', # clot (25 firings) ' clot', # plur (24 firings) ' plur', # regenerate (24 firings) ' regenerate', # chromosom (23 firings) ' chromosomes', # otent (23 firings) 'otent', # hel (22 firings) 'helial', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'cell-family', 1