"""GPT-2 SAE last-token programs, layer 7 -- 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_L07F21900(input_tokens): """40 token families, 42 surface forms (train F1 of the uncapped optimum: 0.539). Fires at 7,094 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to Gross Domestic Product (GDP) and its related metrics""" # --- end external annotation --- fire = { # growth (575 firings) ' growth', # gdp (442 firings) ' GDP', # dp (347 firings) 'DP', # productiv (173 firings) ' productivity', # output (171 firings) ' output', # gradua (149 firings) ' graduation', # theft (146 firings) ' Theft', # gh (135 firings) 'GH', ' GH', # capita (132 firings) ' capita', # auto (131 firings) ' Auto', # gib (119 firings) ' Gib', # gst (103 firings) ' GST', # homicide (101 firings) ' homicide', # birth (91 firings) ' births', # bump (90 firings) ' bumper', # prosper (72 firings) ' prosperity', # civil (69 firings) ' Civilization', # oecd (68 firings) ' OECD', # biodivers (64 firings) ' biodiversity', # competit (63 firings) ' competitiveness', # aaa (63 firings) ' AAA', # fps (61 firings) 'fps', ' fps', # happi (53 firings) ' Happiness', # downside (53 firings) ' downside', # iq (46 firings) ' IQ', # vat (44 firings) ' VAT', # diploma (39 firings) ' diploma', # posit (36 firings) ' positives', # socialism (33 firings) ' Socialism', # iframe (31 firings) 'iframe', # noun (30 firings) ' noun', # ecd (27 firings) 'ECD', # bmi (27 firings) ' BMI', # ato (27 firings) 'atoes', # gpa (24 firings) ' GPA', # gn (24 firings) ' GN', # genom (24 firings) ' genomes', # itive (21 firings) 'itiveness', # csv (21 firings) ' CSV', # profit (21 firings) ' profitability', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'growth-family', 1 def prog_L07F21901(input_tokens): """26 token families, 59 surface forms (train F1 of the uncapped optimum: 0.303). Fires at 97,961 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: expressions of relief or positive emotional responses""" # --- end external annotation --- fire = { # heart (1,151 firings) ' heart', ' hearts', 'heart', 'hearted', 'heartedly', # ed (985 firings) 'ed', # shock (906 firings) ' shock', ' shocked', 'shock', # excit (616 firings) ' excited', # concern (499 firings) ' concerned', ' concern', ' Concern', # emotion (487 firings) ' emotional', ' emotions', # happy (455 firings) ' happy', 'happy', # reac (453 firings) ' reaction', ' Reaction', # tear (449 firings) ' tears', ' tear', ' Tears', # feel (436 firings) ' feeling', ' feelings', # ful (419 firings) 'ful', 'fully', 'fulness', # pain (409 firings) ' pain', ' pains', ' Pain', 'pain', # fear (408 firings) ' fear', ' fearful', ' fearing', # disappoint (401 firings) ' disappointed', ' disappointment', # surpr (377 firings) ' surprised', # upset (357 firings) ' upset', # pan (338 firings) ' panic', ' Panic', 'panic', # nerv (335 firings) ' nervous', ' nerves', # sad (331 firings) ' sad', ' sadness', ' Sad', # excite (314 firings) ' excitement', # confid (298 firings) ' confidence', 'confidence', # relief (295 firings) ' relief', # joy (286 firings) ' joy', 'joy', ' joyful', # frustra (277 firings) ' frustration', # wond (267 firings) ' wonder', ' Wond', # ang (259 firings) ' anger', 'angs', ' Anger', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'heart-family', 1 def prog_L07F21902(input_tokens): """21 token families, 26 surface forms (train F1 of the uncapped optimum: 0.133). Fires at 61,125 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: abbreviations and acronyms related to locations or entities""" # --- end external annotation --- fire = { # en (848 firings) 'en', 'EN', # is (596 firings) 'is', # z (469 firings) 'z', # k (431 firings) 'k', # ­ (417 firings) '\xad', # ad (406 firings) 'ad', # um (391 firings) 'um', 'UM', # ch (387 firings) 'ch', # l (371 firings) 'l', # v (334 firings) 'v', # ens (274 firings) 'ens', 'ENS', ' Ens', # se (242 firings) 'se', # em (233 firings) 'em', # in (229 firings) 'IN', # eg (202 firings) 'EG', # qu (184 firings) 'qu', 'QU', # ce (169 firings) 'ce', # ph (163 firings) 'ph', # ib (157 firings) 'ib', # ip (156 firings) 'ip', # am (153 firings) 'AM', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'en-family', 1 def prog_L07F21903(input_tokens): """1 token families, 3 surface forms (train F1 of the uncapped optimum: 0.145). Fires at 65,662 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating a relationship or belonging""" # --- end external annotation --- fire = { # of (57,432 firings) ' of', ' Of', ' OF', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'of-family', 1 def prog_L07F21904(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.115). Fires at 87,845 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the presence of the word "the" in various contexts""" # --- end external annotation --- fire = { # the (83,161 firings) ' the', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L07F21905(input_tokens): """22 token families, 38 surface forms (train F1 of the uncapped optimum: 0.674). Fires at 16,486 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to prisons and the prison system""" # --- end external annotation --- fire = { # prison (4,040 firings) ' prison', ' prisoners', ' prisons', ' Prison', ' prisoner', 'prison', # jail (1,574 firings) ' jail', ' jailed', ' Jail', ' jails', # deten (612 firings) ' detention', ' Detention', # imprison (333 firings) ' imprisoned', ' imprisonment', ' imprison', # correction (329 firings) ' Corrections', ' Correctional', ' corrections', ' correctional', # pr (238 firings) 'Pr', # pride (206 firings) ' Pride', # guantanamo (189 firings) ' Guantanamo', # execu (184 firings) ' execution', # pen (177 firings) ' penal', ' Penal', # parole (159 firings) ' parole', # ison (147 firings) 'ISON', 'isons', # confine (142 firings) ' confinement', # incarcera (129 firings) ' incarceration', # solitary (122 firings) ' solitary', # quentin (110 firings) ' Quentin', # arkham (105 firings) ' Arkham', # mandela (94 firings) ' Mandela', # incarcerat (91 firings) ' incarcerated', # dystopian (90 firings) ' dystopian', # auschwitz (77 firings) ' Auschwitz', # totalitarian (46 firings) ' totalitarian', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'prison-family', 1 def prog_L07F21906(input_tokens): """24 token families, 50 surface forms (train F1 of the uncapped optimum: 0.136). Fires at 332,945 of 36,786,566 positions. Fires at 0.91% 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 compliance and authority""" # --- end external annotation --- fire = { # to (25,973 firings) ' to', ' TO', # be (6,754 firings) ' be', # been (5,063 firings) ' been', ' Been', 'been', # out (3,166 firings) ' out', # t (2,689 firings) 't', # being (2,672 firings) ' being', # up (2,669 firings) ' up', # into (2,464 firings) ' into', # now (2,288 firings) ' now', ' NOW', # appear (1,777 firings) ' appears', ' appear', ' appeared', ' appearing', ' Appears', # off (1,725 firings) ' off', ' OFF', # going (1,578 firings) ' going', # come (1,502 firings) ' come', # set (1,248 firings) ' set', # start (1,243 firings) ' started', ' starting', ' starts', 'started', ' Starts', # take (1,180 firings) ' take', # remain (1,151 firings) ' remains', ' remain', ' remained', # go (1,109 firings) ' go', # look (1,062 firings) ' looks', ' looking', ' looked', 'look', ' Looks', # already (989 firings) ' already', # com (967 firings) ' coming', 'comes', ' Comes', # und (967 firings) ' under', ' undes', # fall (883 firings) ' fall', ' falling', ' falls', ' Falling', # les (879 firings) ' less', ' Less', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'to-family', 1 def prog_L07F21907(input_tokens): """46 token families, 62 surface forms (train F1 of the uncapped optimum: 0.561). Fires at 17,128 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to a specific vehicle model or related terminology""" # --- end external annotation --- fire = { # ts (1,123 firings) 'TS', ' TS', ' ts', # reut (1,030 firings) 'Reuters', # 00 (282 firings) ' 00', # to (259 firings) 'TO', # as (252 firings) ' AS', # anth (222 firings) ' Anth', ' anth', 'anth', 'Anth', # horn (216 firings) ' horn', ' horns', # anc (206 firings) 'ANC', # watch (184 firings) 'WATCH', # nas (181 firings) 'NAS', ' NAS', # mt (176 firings) 'MT', # av (170 firings) ' AV', # ted (164 firings) ' TED', 'TED', # tf (159 firings) 'TF', ' TF', # nt (151 firings) 'NT', # nyse (149 firings) 'NYSE', # snip (142 firings) ' sniper', ' snipers', # th (130 firings) ' TH', # sk (129 firings) ' SK', # tal (128 firings) ' Tales', ' tal', # ton (123 firings) 'TON', # som (122 firings) ' som', ' Somers', # daly (121 firings) ' Daly', # vand (110 firings) ' Vand', # tant (105 firings) ' tant', ' Tant', # scor (104 firings) ' scorer', # ny (100 firings) ' Ny', # watkin (96 firings) ' Watkins', # hast (92 firings) ' Hastings', # tc (85 firings) ' TC', # durant (85 firings) ' Durant', # infin (79 firings) ' Infinity', # tur (78 firings) ' Turing', # toby (73 firings) ' Toby', # spec (72 firings) ' Spec', 'Spec', # thorn (67 firings) ' Thorn', # thc (64 firings) ' THC', # ucs (63 firings) ' UCS', # und (62 firings) ' unders', # ware (61 firings) ' Ware', 'WARE', # tav (59 firings) ' Tav', # sung (58 firings) ' Sung', # sas (57 firings) ' SAS', # targ (55 firings) ' Targ', ' targ', # osauru (52 firings) 'osaurus', # tobia (51 firings) ' Tobias', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ts-family', 1 def prog_L07F21908(input_tokens): """50 token families, 73 surface forms (train F1 of the uncapped optimum: 0.711). Fires at 32,515 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to figures and their attributes in a broader context""" # --- end external annotation --- fire = { # vest (320 firings) ' vest', ' Vest', # plaza (285 firings) ' Plaza', ' plaza', # robot (283 firings) ' robotic', ' Robots', # week (246 firings) 'Week', ' WEEK', # sant (221 firings) ' Sant', # viol (219 firings) ' Viol', ' viol', 'viol', # train (213 firings) ' trainer', ' trainers', ' Trainer', # vet (196 firings) 'Veter', ' Vet', ' Veter', # guard (195 firings) 'Guard', 'guard', # gerald (181 firings) ' Gerald', # cla (180 firings) 'Cla', ' Cla', ' cla', # period (165 firings) ' Period', 'period', # javi (163 firings) ' Javier', # lav (162 firings) ' lav', 'lav', # verti (159 firings) 'VERTIS', # levant (150 firings) ' Levant', # pand (150 firings) ' Pand', 'Pand', # riv (146 firings) ' Riv', 'riv', # saf (143 firings) ' saf', ' SAF', # guardiola (140 firings) ' Guardiola', # orwell (139 firings) ' Orwell', # supp (139 firings) ' Supp', # tot (139 firings) ' tot', ' Tot', # sne (134 firings) ' sne', # pag (133 firings) ' Pag', ' pag', # extinct (130 firings) ' extinct', # cout (130 firings) ' Cout', ' cout', # moy (127 firings) ' Moy', # toma (125 firings) ' Tomas', # ush (124 firings) ' usher', # cait (123 firings) ' Cait', # car (122 firings) ' Carly', # tant (119 firings) ' tant', ' Tant', # witch (116 firings) ' Witcher', # argent (115 firings) ' Argent', # lal (115 firings) ' Lal', # anto (115 firings) 'anto', # lingu (113 firings) ' lingu', # gat (113 firings) ' Gat', # tarant (111 firings) ' Tarant', # arant (110 firings) 'arant', # quist (110 firings) 'quist', # figur (108 firings) ' figur', # rowl (105 firings) ' Rowling', # nort (105 firings) ' Nort', ' nort', # ipel (104 firings) 'ipel', # laurent (102 firings) ' Laurent', # mgm (102 firings) ' MGM', # pediatr (100 firings) ' pediatric', # clown (100 firings) ' Clown', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'vest-family', 1 def prog_L07F21909(input_tokens): """23 token families, 52 surface forms (train F1 of the uncapped optimum: 0.125). Fires at 163,939 of 36,786,566 positions. Fires at 0.45% 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 public appearances or debuts""" # --- end external annotation --- fire = { # in (6,924 firings) ' in', # season (1,917 firings) ' season', ' seasons', 'season', ' seasonal', # time (1,874 firings) ' time', # game (1,561 firings) ' game', 'game', # album (1,237 firings) ' album', ' albums', ' Album', 'album', # since (1,069 firings) ' since', # goal (826 firings) ' goal', ' goals', ' Goal', 'goal', # win (786 firings) ' win', ' wins', # ever (781 firings) ' ever', 'ever', ' EVER', # debut (704 firings) ' debut', # book (649 firings) ' book', ' books', # gam (599 firings) ' games', # match (595 firings) ' match', ' matches', 'match', # film (583 firings) ' film', ' films', # stor (572 firings) ' stories', ' stores', ' Stories', # care (558 firings) ' career', ' careers', # lat (538 firings) ' latest', ' Latest', 'latest', # project (523 firings) ' project', ' projects', # post (521 firings) ' post', ' posts', # appear (472 firings) ' appearance', ' Appearance', # confer (445 firings) ' conference', ' Conference', 'conference', # meet (434 firings) ' meeting', ' meetings', ' Meeting', # history (432 firings) ' history', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'in-family', 1 def prog_L07F21910(input_tokens): """23 token families, 62 surface forms (train F1 of the uncapped optimum: 0.123). Fires at 353,806 of 36,786,566 positions. Fires at 0.96% 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: statistical information related to sports performance and records""" # --- end external annotation --- fire = { # the (23,611 firings) ' the', # - (7,293 firings) '-', # their (3,014 firings) ' their', ' Their', 'Their', ' theirs', # season (2,499 firings) ' season', 'season', ' seasons', # win (2,389 firings) ' win', ' wins', 'win', ' Win', 'Win', # team (2,372 firings) ' team', ' teams', 'team', ' Teams', # against (1,751 firings) ' against', 'Against', # first (1,712 firings) ' first', # time (1,695 firings) ' time', 'time', # over (1,679 firings) ' over', # play (1,676 firings) ' play', ' played', ' playing', ' plays', 'played', ' Playing', 'Playing', ' PLAY', # game (1,264 firings) ' game', 'game', # year (1,236 firings) ' year', # top (1,198 firings) ' top', ' Top', # best (1,108 firings) ' best', 'best', 'Best', # since (1,062 firings) ' since', 'since', # gam (1,036 firings) ' games', # good (973 firings) ' good', 'good', # head (961 firings) ' head', ' heading', ' headed', ' Head', 'Head', 'header', 'HEAD', ' HEAD', # three (917 firings) ' three', 'three', # playoff (904 firings) ' playoff', ' playoffs', ' Playoffs', ' Playoff', # ' (897 firings) "'", # won (889 firings) ' won', 'won', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L07F21911(input_tokens): """2 token families, 2 surface forms (train F1 of the uncapped optimum: 0.053). Fires at 23,916 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the character "ľ" in the text""" # --- end external annotation --- fire = { # � (23,073 firings) '�', # offline (70 firings) 'Offline', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '�-family', 1 def prog_L07F21912(input_tokens): """46 token families, 46 surface forms (train F1 of the uncapped optimum: 0.442). Fires at 198,685 of 36,786,566 positions. Fires at 0.54% 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: instances of temporal markers or phrases indicating time and context""" # --- end external annotation --- fire = { # the (14,158 firings) 'The', # in (10,740 firings) 'In', # it (4,889 firings) 'It', # accord (4,352 firings) 'According', # as (4,234 firings) 'As', # on (4,060 firings) 'On', # at (2,899 firings) 'At', # when (2,503 firings) 'When', # aft (2,490 firings) 'After', # for (2,457 firings) 'For', # he (2,348 firings) 'He', # if (2,279 firings) 'If', # while (2,262 firings) 'While', # there (2,013 firings) 'There', # that (1,974 firings) 'That', # with (1,878 firings) 'With', # one (1,768 firings) 'One', # by (1,430 firings) 'By', # to (1,289 firings) 'To', # now (1,275 firings) 'Now', # an (1,274 firings) 'An', # howev (1,223 firings) 'However', # some (1,084 firings) 'Some', # last (1,082 firings) 'Last', # dur (1,079 firings) 'During', # since (1,067 firings) 'Since', # from (1,025 firings) 'From', # speak (959 firings) 'Speaking', # here (908 firings) 'Here', # she (903 firings) 'She', # more (875 firings) 'More', # mr (835 firings) 'Mr', # over (800 firings) 'Over', # even (735 firings) 'Even', # two (727 firings) 'Two', # although (703 firings) 'Although', # his (703 firings) 'His', # of (690 firings) 'Of', # despite (671 firings) 'Despite', # earli (602 firings) 'Earlier', # und (592 firings) 'Under', # both (577 firings) 'Both', # most (566 firings) 'Most', # many (563 firings) 'Many', # advertise (536 firings) 'ADVERTISEMENT', # before (501 firings) 'Before', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L07F21913(input_tokens): """28 token families, 36 surface forms (train F1 of the uncapped optimum: 0.369). Fires at 16,436 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to Santa and gift exchanges""" # --- end external annotation --- fire = { # gift (994 firings) ' gift', ' gifts', ' Gift', ' Gifts', # santa (773 firings) ' Santa', 'Santa', # christma (383 firings) ' Christmas', # package (310 firings) ' package', # anta (247 firings) 'anta', # valentine (199 firings) ' Valentine', # secret (187 firings) ' Secret', # collector (153 firings) ' collectors', ' collector', ' Collector', # reddit (152 firings) ' reddit', # ibo (119 firings) 'ibo', # eta (100 firings) 'ETA', # ss (96 firings) ' SS', # etsy (91 firings) ' Etsy', 'etsy', # mas (90 firings) 'mas', 'MAS', # gif (87 firings) ' gif', # clau (84 firings) ' Claus', # eddy (71 firings) 'eddy', # handmade (68 firings) ' handmade', # packag (67 firings) ' packaging', # back (66 firings) ' backers', # hum (62 firings) 'hum', # envelope (58 firings) ' envelope', # induct (58 firings) ' induct', # thought (58 firings) ' thoughtful', # valent (47 firings) ' Valent', # merry (43 firings) ' Merry', # parcel (43 firings) ' parcel', # arant (42 firings) 'arant', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'gift-family', 1 def prog_L07F21914(input_tokens): """37 token families, 46 surface forms (train F1 of the uncapped optimum: 0.474). Fires at 19,189 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the national anthem""" # --- end external annotation --- fire = { # flag (803 firings) ' flag', # anthem (502 firings) ' anthem', ' Anthem', # open (452 firings) ' opener', ' Opening', 'Opening', # pray (445 firings) ' prayer', ' Prayer', ' prayers', # charlottesville (299 firings) ' Charlottesville', # oath (288 firings) ' oath', ' Oath', # kaepernick (241 firings) ' Kaepernick', # alleg (225 firings) ' Alleg', ' alleg', # thanksgiv (221 firings) ' Thanksgiving', # patriot (158 firings) ' patriotic', ' patriot', # mascot (138 firings) ' mascot', # independ (131 firings) ' Independence', # soundtrack (117 firings) ' soundtrack', # stand (113 firings) ' Standing', # brutal (111 firings) ' brutality', # allegi (101 firings) ' allegiance', # salute (98 firings) ' salute', # rainbow (98 firings) ' rainbow', # kne (95 firings) ' kne', # militar (91 firings) ' militar', # patriotism (86 firings) ' patriotism', # halftime (85 firings) ' halftime', # monu (84 firings) ' Monument', # kneel (79 firings) ' kneeling', # discrimina (79 firings) 'discrimination', # slur (78 firings) ' slurs', ' slur', # assion (77 firings) 'assion', # intro (72 firings) ' intro', # coliseum (70 firings) ' Coliseum', # zac (65 firings) 'zac', # shak (61 firings) ' Shak', # swast (60 firings) ' swast', # remem (59 firings) ' Remem', # rimina (59 firings) 'rimination', # amo (59 firings) 'amo', # pledge (57 firings) ' Pledge', # kick (57 firings) ' kicker', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'flag-family', 1 def prog_L07F21915(input_tokens): """2 token families, 4 surface forms (train F1 of the uncapped optimum: 0.081). Fires at 154,514 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: terms related to various specialized fields of expertise and social issues""" # --- end external annotation --- fire = { # soc (436 firings) ' social', ' Social', ' soc', # high (388 firings) ' high', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'soc-family', 1 def prog_L07F21916(input_tokens): """14 token families, 26 surface forms (train F1 of the uncapped optimum: 0.125). Fires at 116,041 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: specific technology and internet-related terms""" # --- end external annotation --- fire = { # device (1,097 firings) ' device', ' Device', 'Device', # own (788 firings) ' own', ' Own', # phone (774 firings) ' phone', ' Phone', 'phone', # life (688 firings) ' life', # favorite (530 firings) ' favorite', ' Favorite', # friend (523 firings) ' friends', 'friend', ' Friend', # fami (492 firings) ' family', # account (486 firings) ' account', ' Account', # body (460 firings) ' body', ' Body', # car (419 firings) ' car', # brows (395 firings) ' browser', ' browsing', ' Browser', # email (377 firings) ' email', # comput (357 firings) ' computer', # addres (327 firings) ' address', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'device-family', 1 def prog_L07F21917(input_tokens): """47 token families, 61 surface forms (train F1 of the uncapped optimum: 0.663). Fires at 28,205 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the mention of the term "Isa" along with associated contexts""" # --- end external annotation --- fire = { # ida (571 firings) 'ida', 'IDA', # isa (545 firings) 'isa', 'ISA', ' Isa', 'Isa', # plaza (385 firings) ' Plaza', ' plaza', # iss (301 firings) 'ISS', ' ISS', 'Iss', ' Iss', # aca (285 firings) 'aca', 'ACA', # elli (270 firings) ' Ellis', # visa (252 firings) ' Visa', ' visa', # enix (243 firings) ' Enix', # itsu (240 firings) 'itsu', # immigra (234 firings) ' Immigration', # nak (227 firings) ' Nak', # esa (226 firings) 'ESA', ' ESA', 'esa', # ista (222 firings) 'ista', # iza (212 firings) 'iza', # sa (212 firings) 'sa', # iko (198 firings) 'iko', # asa (192 firings) 'asa', ' ASA', # uka (190 firings) 'uka', # da (186 firings) ' da', # umi (180 firings) 'umi', # iba (175 firings) 'iba', # issa (174 firings) 'issa', # genesi (170 firings) ' Genesis', ' genesis', # achi (168 firings) 'achi', # oshi (165 firings) 'oshi', # aci (164 firings) 'aci', # obi (152 firings) 'obi', # eda (149 firings) 'eda', # fam (145 firings) ' Fam', # olla (138 firings) 'olla', # afa (137 firings) 'afa', # daq (135 firings) 'DAQ', # maya (132 firings) ' Maya', # lennon (123 firings) ' Lennon', # esta (119 firings) 'esta', # estonia (114 firings) ' Estonia', # mayo (107 firings) ' Mayo', # santiago (106 firings) ' Santiago', # satoshi (103 firings) ' Satoshi', # ija (99 firings) 'ija', # iva (98 firings) 'ivas', # drup (97 firings) ' Drupal', # iji (97 firings) 'iji', # paula (94 firings) ' Paula', # uta (92 firings) 'uta', # ee (91 firings) ' EE', # cci (89 firings) 'cci', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ida-family', 1 def prog_L07F21918(input_tokens): """8 token families, 12 surface forms (train F1 of the uncapped optimum: 0.205). Fires at 11,373 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: negations or phrases emphasizing what one should avoid or not do""" # --- end external annotation --- fire = { # t (3,504 firings) "'t", # don (412 firings) ' Don', 'Don', # not (162 firings) ' NOT', 'NOT', # nev (114 firings) 'Never', ' NEVER', # beware (58 firings) ' beware', ' Beware', # ase (37 firings) 'ASE', # eware (30 firings) 'eware', # dont (30 firings) ' dont', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 't-family', 1 def prog_L07F21919(input_tokens): """7 token families, 10 surface forms (train F1 of the uncapped optimum: 0.586). Fires at 25,246 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to global topics or issues""" # --- end external annotation --- fire = { # world (12,201 firings) ' world', ' worlds', ' WORLD', # worldwide (1,402 firings) ' worldwide', ' Worldwide', # globe (652 firings) ' globe', # global (331 firings) ' globally', # nationwide (227 firings) ' nationwide', # international (175 firings) ' internationally', # continent (95 firings) ' continents', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'world-family', 1 def prog_L07F21920(input_tokens): """2 token families, 4 surface forms (train F1 of the uncapped optimum: 0.473). Fires at 23,306 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases involving exploration or delving into various subjects or fields""" # --- end external annotation --- fire = { # into (14,788 firings) ' into', ' Into', ' INTO', # foray (107 firings) ' foray', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'into-family', 1 def prog_L07F21921(input_tokens): """6 token families, 7 surface forms (train F1 of the uncapped optimum: 0.059). Fires at 12,541 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to real-life applications and instances""" # --- end external annotation --- fire = { # - (10,244 firings) '-', # salt (81 firings) ' Salt', # time (67 firings) ' Time', # clear (43 firings) ' Clear', 'Clear', # osc (39 firings) 'osc', # world (32 firings) 'world', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1 def prog_L07F21922(input_tokens): """48 token families, 53 surface forms (train F1 of the uncapped optimum: 0.678). Fires at 15,677 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the name "Corey." """ # --- end external annotation --- fire = { # 1986 (350 firings) ' 1986', '1986', # corey (303 firings) ' Corey', # cent (263 firings) ' Cent', # cory (214 firings) ' Cory', # cody (212 firings) ' Cody', # katie (203 firings) ' Katie', # cryst (198 firings) ' Crystal', 'Crystal', # nicole (195 firings) ' Nicole', # newt (175 firings) ' Newt', # anth (160 firings) ' Anth', ' anth', 'Anth', # iv (153 firings) ' Iv', 'Iv', # carey (152 firings) ' Carey', # trove (148 firings) ' trove', # aci (147 firings) 'aci', # tyson (147 firings) ' Tyson', # acey (143 firings) 'acey', # tracy (141 firings) ' Tracy', # core (141 firings) 'Core', # mogul (138 firings) ' mogul', # katy (136 firings) ' Katy', # andre (135 firings) 'Andre', # courtney (132 firings) ' Courtney', # trey (122 firings) ' Trey', # lad (120 firings) ' Lad', # michele (119 firings) ' Michele', # icky (119 firings) 'icky', # magn (116 firings) ' Magn', # subt (106 firings) ' subt', # collect (102 firings) ' Collective', # axel (99 firings) ' Axel', # bret (99 firings) ' Bret', # madonna (98 firings) ' Madonna', # andowski (96 firings) 'andowski', # gymn (95 firings) ' gymn', # crypto (95 firings) ' Crypto', # centrist (90 firings) ' centrist', # anche (90 firings) 'anche', # dillon (89 firings) ' Dillon', # gent (88 firings) ' gent', # wyatt (83 firings) ' Wyatt', # madagascar (82 firings) ' Madagascar', # alicia (77 firings) ' Alicia', # curator (77 firings) ' curator', # civ (75 firings) ' civ', # kry (73 firings) ' Kry', # feldman (72 firings) ' Feldman', # zac (72 firings) ' Zac', # anti (71 firings) 'antis', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '1986-family', 1 def prog_L07F21923(input_tokens): """41 token families, 53 surface forms (train F1 of the uncapped optimum: 0.612). Fires at 7,391 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to rib structures or ribosomes in biological contexts""" # --- end external annotation --- fire = { # rib (561 firings) 'rib', ' rib', ' Rib', ' ribs', 'ribes', # rist (230 firings) 'rist', # trib (185 firings) ' Trib', ' trib', # rab (165 firings) 'rab', # rim (150 firings) 'rim', # soc (143 firings) 'Soc', 'soc', # scrib (132 firings) ' scrib', 'scrib', ' Scrib', # ribe (105 firings) 'ribe', # ract (102 firings) 'ract', # britt (96 firings) ' Britt', # rove (92 firings) ' Rove', # conj (91 firings) ' conj', # ribut (88 firings) 'ribut', # jord (85 firings) ' Jord', # gob (84 firings) ' gob', 'gob', # tri (82 firings) 'tri', # reb (76 firings) 'reb', # minst (73 firings) 'minster', # desc (72 firings) 'Desc', 'desc', # drib (69 firings) ' drib', # ρ (68 firings) 'ρ', # ribune (67 firings) 'ribune', # )( (66 firings) ')(', # jarrett (64 firings) ' Jarrett', # clim (60 firings) ' Clim', # cler (54 firings) ' cler', # ration (53 firings) ' ration', # zip (51 firings) ' Zip', ' ZIP', # jam (49 firings) ' Jamal', # tab (47 firings) 'tab', 'Tab', # tib (42 firings) ' Tib', # bib (40 firings) ' Bib', # pj (40 firings) ' PJ', # ruff (40 firings) 'ruff', # newsp (39 firings) ' Newsp', # loc (38 firings) 'loc', # pron (28 firings) ' pron', # ibli (28 firings) 'ibli', # ragnar (26 firings) ' Ragnar', # prelim (25 firings) ' prelim', # cri (22 firings) ' cris', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'rib-family', 1 def prog_L07F21924(input_tokens): """5 token families, 6 surface forms (train F1 of the uncapped optimum: 0.374). Fires at 27,617 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: punctuation marks, particularly single and double quotation marks""" # --- end external annotation --- fire = { # " (14,490 firings) '"', # ", (535 firings) '",', # !" (169 firings) '!"', # '' (153 firings) "''", # ..." (89 firings) '..."', ' ..."', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '"-family', 1 def prog_L07F21925(input_tokens): """46 token families, 66 surface forms (train F1 of the uncapped optimum: 0.690). Fires at 15,676 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to a person named Souma or variations of that name""" # --- end external annotation --- fire = { # ou (784 firings) 'ou', ' Ou', # bou (328 firings) ' Bou', ' bou', # soup (289 firings) ' soup', ' Soup', # sou (281 firings) ' Sou', ' sou', ' SOU', # ste (262 firings) 'Ste', # che (209 firings) 'Che', # vo (207 firings) ' Vo', 'Vo', 'VO', ' VO', # moy (200 firings) ' Moy', # soul (194 firings) ' Soul', 'Soul', # bour (193 firings) ' Bour', ' bour', # rou (192 firings) ' Rou', ' rou', # cou (186 firings) ' cou', ' Cous', ' cous', # hou (172 firings) 'hou', ' Hou', # mou (165 firings) ' Mous', ' Mou', # tou (156 firings) ' Tou', ' tou', # su (143 firings) ' SU', # ro (140 firings) ' RO', # rouhani (130 firings) ' Rouhani', # kun (126 firings) ' Kun', # burg (119 firings) ' Burg', # gau (118 firings) ' gau', ' Gau', # mur (113 firings) 'Mur', # ted (110 firings) ' TED', # pure (109 firings) ' Pure', # sana (107 firings) ' Sana', # fou (107 firings) ' Fou', ' fou', # gow (104 firings) ' Gow', # dra (104 firings) ' Dra', # garn (103 firings) ' Garn', ' garn', # angu (92 firings) ' Angus', # orche (88 firings) ' orche', ' Orche', # og (87 firings) ' Og', # fare (85 firings) ' Fare', # brook (85 firings) ' Brookings', # swe (83 firings) ' swe', # sao (82 firings) ' Sao', # faul (79 firings) ' Faul', # sweeney (77 firings) ' Sweeney', # ludwig (76 firings) ' Ludwig', # fay (76 firings) ' Fay', # kou (75 firings) ' Kou', # stre (72 firings) 'stre', # boo (71 firings) ' Boo', # dou (70 firings) 'Dou', # souven (68 firings) ' souven', # thorn (64 firings) ' Thorn', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ou-family', 1 def prog_L07F21926(input_tokens): """7 token families, 13 surface forms (train F1 of the uncapped optimum: 0.676). Fires at 6,367 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "cast" and its variations in relation to voting or decision-making contexts""" # --- end external annotation --- fire = { # cast (3,186 firings) ' cast', ' casting', ' Cast', 'Cast', ' casts', 'casting', ' Casting', # portray (130 firings) ' portray', # aga (123 firings) 'aga', # audi (61 firings) ' audition', # paint (38 firings) ' paints', # assign (32 firings) ' assign', # consec (21 firings) ' consec', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'cast-family', 1 def prog_L07F21927(input_tokens): """35 token families, 49 surface forms (train F1 of the uncapped optimum: 0.675). Fires at 8,434 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to eggs as a food ingredient""" # --- end external annotation --- fire = { # egg (1,368 firings) ' eggs', ' egg', ' Egg', ' Eggs', 'egg', # nest (313 firings) ' nest', ' nests', ' nesting', # chick (245 firings) ' Chick', ' chick', ' chicks', # hatch (182 firings) ' hatch', ' hatched', # chicken (170 firings) ' chickens', # sperm (146 firings) ' sperm', # embryo (143 firings) ' embryos', ' embryo', # orb (125 firings) ' Orb', ' orb', ' orbs', # heart (106 firings) ' Hearts', # scrambl (105 firings) ' scrambled', # germ (102 firings) ' Germ', ' germ', # horn (93 firings) ' horn', # key (89 firings) ' Keys', 'Keys', # hen (79 firings) ' hen', # ov (76 firings) ' ov', # oy (75 firings) ' oy', # poultry (75 firings) ' poultry', # goose (74 firings) ' goose', # iz (73 firings) ' Iz', # event (70 firings) 'Event', # almond (67 firings) ' almond', # sausage (67 firings) ' sausage', # ultr (63 firings) ' ultr', # imm (62 firings) 'Imm', # gest (60 firings) ' gest', # enzyme (59 firings) ' enzyme', # yeast (54 firings) ' yeast', # mone (49 firings) 'mone', # om (49 firings) ' om', # eug (48 firings) ' Eug', # ovarian (43 firings) ' ovarian', # end (34 firings) ' Ender', # enzym (34 firings) ' enzymes', # ic (34 firings) ' Ic', # yoshi (25 firings) ' Yoshi', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'egg-family', 1 def prog_L07F21928(input_tokens): """22 token families, 60 surface forms (train F1 of the uncapped optimum: 0.106). Fires at 916,471 of 36,786,566 positions. Fires at 2.49% 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 tasks, actions, or requirements that involve effort or productivity""" # --- end external annotation --- fire = { # of (28,486 firings) ' of', ' Of', # a (20,552 firings) ' a', ' A', 'ía', 'ça', # is (11,112 firings) ' is', ' Is', # was (7,451 firings) ' was', ' Was', ' WAS', # are (6,470 firings) ' are', ' Are', # have (6,345 firings) ' have', ' Have', # i (5,247 firings) ' I', ' i', # be (4,968 firings) ' be', # not (4,951 firings) ' not', ' noted', ' Not', ' notes', ' notable', ' NOT', ' noting', # will (4,409 firings) ' will', ' willing', ' Will', ' WILL', ' willingly', # t (4,339 firings) 't', "'t", ' t', # you (4,139 firings) ' you', # said (3,863 firings) ' said', # also (3,433 firings) ' also', ' Also', # one (3,281 firings) ' one', ' One', ' ONE', 'onement', # were (3,274 firings) ' were', ' Were', # can (2,998 firings) ' can', ' Can', ' CAN', # up (2,964 firings) ' up', ' Up', ' UP', # who (2,954 firings) ' who', ' Who', # about (2,940 firings) ' about', ' About', ' ABOUT', # had (2,768 firings) ' had', # say (2,445 firings) ' say', ' says', ' Say', ' Saying', ' SAY', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'of-family', 1 def prog_L07F21929(input_tokens): """13 token families, 16 surface forms (train F1 of the uncapped optimum: 0.551). Fires at 8,095 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "everywhere." """ # --- end external annotation --- fire = { # everywhere (975 firings) ' everywhere', ' Everywhere', # anywhere (878 firings) ' anywhere', # everyday (665 firings) ' everyday', ' Everyday', # wherev (228 firings) ' wherever', # ubiquit (133 firings) ' ubiquitous', # every (113 firings) 'every', ' EVERY', # universal (98 firings) ' universally', # omnip (41 firings) ' omnip', # whenev (29 firings) ' Whenever', # abound (27 firings) ' abound', # chic (26 firings) ' Chic', # olympia (23 firings) ' Olympia', # pop (21 firings) ' POP', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'everywhere-family', 1 def prog_L07F21930(input_tokens): """35 token families, 42 surface forms (train F1 of the uncapped optimum: 0.538). Fires at 12,077 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of "Night" as part of various events or shows""" # --- end external annotation --- fire = { # night (2,273 firings) ' Night', 'night', 'Night', ' Nights', ' nightly', ' NIGHT', # unch (210 firings) 'unch', # tonight (178 firings) ' Tonight', # bat (142 firings) ' Bat', # hour (129 firings) ' Hour', 'Hour', # tomorrow (128 firings) ' Tomorrow', # even (123 firings) ' Evening', # mystery (114 firings) ' Mystery', # anniversary (112 firings) ' Anniversary', # date (107 firings) 'Date', # etime (103 firings) 'etime', # arkham (98 firings) ' Arkham', # carniv (97 firings) ' Carnival', # neighborhood (96 firings) ' Neighborhood', # midnight (91 firings) ' Midnight', # phantom (91 firings) ' Phantom', # anity (87 firings) 'anity', # nightmare (76 firings) ' Nightmare', # htar (74 firings) 'htar', # murd (69 firings) ' Murder', # ight (69 firings) 'IGHT', # weekend (68 firings) ' Weekend', # maid (64 firings) ' Maid', # node (62 firings) ' Node', # present (58 firings) ' Presents', # romptu (57 firings) 'romptu', # noon (51 firings) ' Noon', 'noon', # urn (49 firings) 'urnal', # quet (47 firings) 'quet', # dread (45 firings) ' Dread', # majesty (45 firings) ' Majesty', # iday (43 firings) 'iday', # nighttime (42 firings) ' nighttime', # ning (36 firings) 'NING', # raven (32 firings) 'Raven', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'night-family', 1 def prog_L07F21931(input_tokens): """25 token families, 52 surface forms (train F1 of the uncapped optimum: 0.115). Fires at 130,812 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: proper nouns and character names in a movie or narrative context""" # --- end external annotation --- fire = { # - (5,360 firings) '-', # : (2,157 firings) ':', # b (1,271 firings) ' B', 'b', 'B', # h (1,089 firings) 'h', ' H', ' h', # / (1,020 firings) '/', # k (859 firings) ' K', 'k', ' k', # l (783 firings) ' L', 'l', # f (763 firings) ' F', 'f', # z (626 firings) 'z', ' Z', 'Z', ' z', # y (611 firings) 'y', # s (542 firings) ' S', ' s', # le (528 firings) 'le', ' Le', ' le', # county (508 firings) ' County', ' COUNTY', # j (507 firings) ' J', 'j', # v (500 firings) 'v', ' v', # g (486 firings) ' G', # m (457 firings) ' M', ' m', # de (434 firings) ' de', ' De', # man (416 firings) 'man', ' Mans', # bl (393 firings) ' Bl', 'bl', 'BL', # r (390 firings) ' R', 'ré', # & (367 firings) ' &', # on (366 firings) 'on', # p (350 firings) ' P', # sport (340 firings) ' Sports', 'Sports', 'sports', 'Sport', ' SPORTS', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1 def prog_L07F21932(input_tokens): """12 token families, 15 surface forms (train F1 of the uncapped optimum: 0.091). Fires at 23,976 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to part-time work and its implications""" # --- end external annotation --- fire = { # 1 (725 firings) ' 1', # congres (342 firings) ' Congress', # stat (215 firings) ' states', # time (203 firings) 'time', # play (202 firings) 'playing', ' Playing', 'players', # way (160 firings) ' ways', # continu (150 firings) ' continues', # ii (134 firings) ' II', # action (91 firings) 'action', # ire (86 firings) 'ire', 'IRE', # theft (78 firings) ' Theft', # parlia (78 firings) ' Parliament', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '1-family', 1 def prog_L07F21933(input_tokens): """4 token families, 5 surface forms (train F1 of the uncapped optimum: 0.836). Fires at 19,465 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of the United States""" # --- end external annotation --- fire = { # us (14,259 firings) ' US', 'US', # nz (102 firings) ' NZ', # uae (98 firings) ' UAE', # usda (70 firings) ' USDA', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'us-family', 1 def prog_L07F21934(input_tokens): """7 token families, 8 surface forms (train F1 of the uncapped optimum: 0.106). Fires at 207,459 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: command-like structures or technical terminology in the text""" # --- end external annotation --- fire = { # , (74,651 firings) ',', # ( (8,554 firings) ' (', # which (3,065 firings) ' which', # – (1,734 firings) ' –', # ), (1,560 firings) '),', ' ),', # could (902 firings) ' Could', # — (871 firings) '—', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L07F21935(input_tokens): """47 token families, 51 surface forms (train F1 of the uncapped optimum: 0.820). Fires at 19,504 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to Germany and its derivatives""" # --- end external annotation --- fire = { # german (3,691 firings) ' German', 'German', ' Germans', # germany (3,253 firings) ' Germany', 'Germany', # berlin (815 firings) ' Berlin', # munich (403 firings) ' Munich', # euro (335 firings) ' euros', # merkel (319 firings) ' Merkel', # hitl (256 firings) ' Hitler', # bayern (220 firings) ' Bayern', # ber (216 firings) 'Ber', # volkswagen (205 firings) ' Volkswagen', # hamburg (184 firings) ' Hamburg', # frankfurt (173 firings) ' Frankfurt', # bundesliga (166 firings) ' Bundesliga', # cologne (163 firings) ' Cologne', # lin (161 firings) 'LIN', # dortmund (158 firings) ' Dortmund', # ghana (150 firings) ' Ghana', # deutsche (137 firings) ' Deutsche', # france (137 firings) 'France', # bav (131 firings) ' Bav', # adolf (126 firings) ' Adolf', # andrea (120 firings) ' Andreas', # sburg (110 firings) 'sburg', # greenland (110 firings) ' Greenland', # utsch (104 firings) 'utsch', # sax (104 firings) ' Sax', # spiegel (103 firings) ' Spiegel', # zeit (92 firings) ' Zeit', # ß (91 firings) 'ß', # gart (88 firings) 'gart', # wolfgang (87 firings) ' Wolfgang', # zig (80 firings) 'zig', # fra (79 firings) ' Fra', 'Fra', # ludwig (76 firings) ' Ludwig', # franz (74 firings) ' Franz', # utsche (73 firings) 'utsche', # rosenberg (69 firings) ' Rosenberg', # bund (67 firings) ' Bundes', # friedrich (66 firings) ' Friedrich', # blitz (65 firings) ' Blitz', # mull (62 firings) ' Muller', # bay (59 firings) ' Bayer', # dresden (58 firings) ' Dresden', # braun (58 firings) ' Braun', # lutheran (57 firings) ' Lutheran', # marku (57 firings) ' Markus', # wilhelm (50 firings) ' Wilhelm', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'german-family', 1 def prog_L07F21936(input_tokens): """5 token families, 13 surface forms (train F1 of the uncapped optimum: 0.145). Fires at 387,570 of 36,786,566 positions. Fires at 1.05% 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 health, physical attributes, and systems in a structured context""" # --- end external annotation --- fire = { # - (17,673 firings) '-', # new (3,405 firings) ' new', 'new', # high (1,248 firings) ' high', ' higher', ' highly', 'high', 'highly', # long (1,099 firings) ' long', 'long', ' LONG', # year (1,052 firings) 'year', ' yearly', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1 def prog_L07F21937(input_tokens): """20 token families, 57 surface forms (train F1 of the uncapped optimum: 0.108). Fires at 613,904 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: references to awards and accomplishments""" # --- end external annotation --- fire = { # the (44,560 firings) ' the', 'The', ' The', # a (20,935 firings) ' a', 'A', # was (6,682 firings) ' was', ' Was', 'Was', # has (5,934 firings) ' has', 'has', # an (5,216 firings) ' an', 'An', # but (5,216 firings) ' but', ' But', 'But', 'but', # have (5,081 firings) ' have', 'Have', ' Have', 'have', # he (4,642 firings) ' he', ' He', 'He', # are (4,462 firings) ' are', ' Are', 'Are', # will (3,906 firings) ' will', ' Will', 'Will', 'will', ' willful', # aft (2,988 firings) ' after', 'After', ' After', # " (2,898 firings) ' "', # who (2,733 firings) ' who', # were (2,102 firings) ' were', 'Were', # new (2,053 firings) ' new', # n (1,980 firings) 'N', ' N', # help (1,840 firings) ' help', ' helped', ' helping', ' helps', ' helper', # she (1,679 firings) ' she', 'She', ' She', # people (1,657 firings) ' people', 'People', # play (1,563 firings) ' play', ' playing', ' players', ' Playing', ' playful', 'Playing', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L07F21938(input_tokens): """40 token families, 45 surface forms (train F1 of the uncapped optimum: 0.765). Fires at 9,711 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the name "Richard" """ # --- end external annotation --- fire = { # richard (2,468 firings) ' Richard', 'Richard', ' Richards', # rich (434 firings) 'rich', 'Rich', # rick (272 firings) 'rick', # nicola (243 firings) ' Nicolas', # nigel (221 firings) ' Nigel', # sherman (221 firings) ' Sherman', # richardson (205 firings) ' Richardson', # gerald (174 firings) ' Gerald', # salman (173 firings) ' Salman', # ich (155 firings) 'ICH', # inton (153 firings) 'inton', # anthony (151 firings) 'Anthony', # darrell (145 firings) ' Darrell', # herbert (142 firings) ' Herbert', # sergey (137 firings) ' Sergey', # rahul (135 firings) ' Rahul', # burr (113 firings) ' Burr', # charl (113 firings) 'Charles', # angu (105 firings) ' Angus', # igel (83 firings) 'igel', # rf (80 firings) ' RF', 'rf', # rutherford (77 firings) ' Rutherford', # randolph (77 firings) ' Randolph', # rouhani (76 firings) ' Rouhani', # wayne (75 firings) 'wayne', # itchie (73 firings) 'itchie', # richie (72 firings) ' Richie', # roy (72 firings) 'Roy', # maurice (70 firings) ' Maurice', # forr (68 firings) ' Forrest', # norri (58 firings) ' Norris', # reclaim (49 firings) ' reclaimed', # arsen (45 firings) ' arsenic', # eleanor (43 firings) ' Eleanor', # rusty (36 firings) ' Rusty', # inhibitor (31 firings) ' inhibitors', ' inhibitor', # ins (30 firings) ' INS', # aryl (27 firings) 'aryl', # で (26 firings) 'で', # ス (25 firings) 'ス', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'richard-family', 1 def prog_L07F21939(input_tokens): """17 token families, 60 surface forms (train F1 of the uncapped optimum: 0.126). Fires at 602,594 of 36,786,566 positions. Fires at 1.64% 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 and sentences that encourage audience engagement and interaction on a blog""" # --- end external annotation --- fire = { # to (19,161 firings) ' to', ' TO', # i (8,443 firings) ' I', ' i', # thi (6,044 firings) ' this', ' This', 'this', ' THIS', 'THIS', # you (5,957 firings) ' you', ' YOU', 'YOU', # we (5,949 firings) ' we', ' We', ' WE', # be (4,690 firings) ' be', ' BE', # our (3,239 firings) ' our', ' Our', ' OUR', # my (2,836 firings) ' my', ' MY', # post (2,475 firings) ' post', ' posted', ' posts', ' Posted', ' posting', 'Posted', 'post', 'posted', ' POST', 'posts', ' postings', 'POST', # 1 (2,414 firings) ' 1', '1', # some (2,296 firings) ' some', ' SOME', # what (1,938 firings) ' what', ' whats', ' WHAT', # your (1,915 firings) ' your', ' yours', ' YOUR', # if (1,706 firings) ' if', ' If', ' IF', # most (1,700 firings) ' most', # here (1,696 firings) ' here', ' HERE', 'here', # thank (1,684 firings) ' Thank', ' thanks', ' Thanks', ' thank', 'Thanks', 'Thank', 'thanks', ' THANK', ' thanking', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'to-family', 1 def prog_L07F21940(input_tokens): """12 token families, 29 surface forms (train F1 of the uncapped optimum: 0.148). Fires at 192,418 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: nouns that represent categories or classifications""" # --- end external annotation --- fire = { # s (1,956 firings) 's', # servic (1,155 firings) ' services', ' Services', 'services', # system (1,106 firings) ' system', ' systems', ' System', ' Systems', ' SYSTEM', # gam (771 firings) ' games', # official (710 firings) ' officials', # group (626 firings) ' groups', 'groups', ' Groups', # account (602 firings) ' account', ' accounts', ' accountable', ' Accounts', # memb (569 firings) ' members', ' Member', # street (560 firings) ' Street', ' streets', ' Streets', # service (543 firings) ' service', ' Service', # pow (526 firings) ' power', ' powers', ' Powers', # data (499 firings) ' data', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 's-family', 1 def prog_L07F21941(input_tokens): """42 token families, 55 surface forms (train F1 of the uncapped optimum: 0.582). Fires at 9,375 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to sacredness and holy significance""" # --- end external annotation --- fire = { # holy (388 firings) ' holy', 'holy', 'Holy', # ancient (353 firings) ' ancient', # sacr (341 firings) ' sacred', ' Sacred', # sanctuary (297 firings) ' sanctuary', ' Sanctuary', # heal (196 firings) ' healing', ' Healing', # preci (193 firings) ' precious', # rever (180 firings) ' revered', ' reverence', # sac (151 firings) 'Sac', 'sac', ' sac', # mag (139 firings) ' magical', # polit (133 firings) ' politic', # forbidden (131 firings) ' forbidden', ' Forbidden', # shrine (113 firings) ' shrine', ' Shrine', # sanct (103 firings) ' sanct', ' Sanct', # myth (98 firings) ' mythical', # ceremon (95 firings) ' ceremonial', # bless (90 firings) ' blessed', ' Blessed', # pristine (89 firings) ' pristine', # myst (86 firings) ' mystical', ' mystic', # pilgrimage (85 firings) ' pilgrimage', # taboo (75 firings) ' taboo', # cherish (75 firings) ' cherished', # burn (75 firings) ' Burning', # solemn (74 firings) ' solemn', # shame (71 firings) ' shameful', # commun (68 firings) ' communal', # devout (66 firings) ' devout', # brance (60 firings) 'brance', # pur (53 firings) ' purity', # altar (52 firings) ' altar', # cca (48 firings) 'cca', # mecca (43 firings) ' Mecca', # ctuary (41 firings) 'ctuary', # ancestr (40 firings) ' ancestral', # holi (38 firings) ' holiest', # ven (38 firings) ' vener', # asur (38 firings) 'asured', # cleans (38 firings) ' cleansing', # entrust (37 firings) ' entrusted', # rite (33 firings) ' rite', # found (32 firings) ' foundational', # virtu (25 firings) ' virtuous', # piou (24 firings) ' pious', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'holy-family', 1 def prog_L07F21942(input_tokens): """47 token families, 52 surface forms (train F1 of the uncapped optimum: 0.547). Fires at 17,198 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: expressions of strong fixation or preoccupation with certain subjects or ideas""" # --- end external annotation --- fire = { # devot (381 firings) ' devoted', # obsess (356 firings) ' obsessed', ' obsessive', # obses (309 firings) ' obsession', ' obsess', # affair (250 firings) ' affair', # frenzy (179 firings) ' frenzy', # jugg (178 firings) ' jugg', ' Jugg', # fascinat (174 firings) ' fascinated', # sne (165 firings) ' sne', # fev (152 firings) ' fever', # occup (149 firings) 'occupied', 'occup', # craz (137 firings) ' craz', # cra (134 firings) ' cra', # addict (130 firings) ' addicted', # synonym (121 firings) ' synonymous', # obs (120 firings) ' Obs', ' obs', # eccentr (117 firings) ' eccentric', # fascina (109 firings) ' fascination', # devote (107 firings) ' devote', # crusade (100 firings) ' crusade', # hysteria (97 firings) ' hysteria', # intrigu (96 firings) ' intrigued', # vigilant (91 firings) ' vigilant', # bor (90 firings) ' bored', # fantas (87 firings) ' fantasies', # relentless (86 firings) ' relentlessly', # stuff (86 firings) ' stuffed', # ess (85 firings) 'essed', # uls (84 firings) 'ulsive', # devo (83 firings) ' devotion', # relentles (81 firings) ' relentless', # stud (75 firings) ' stud', # inces (73 firings) ' incess', # icion (72 firings) 'icion', # fanat (71 firings) ' fanatic', # uri (69 firings) 'urious', # endless (67 firings) ' endlessly', # intense (67 firings) ' intensely', # obia (67 firings) 'obia', # lust (66 firings) ' lust', # fetish (64 firings) ' fetish', # experimenta (63 firings) ' experimentation', # maniac (62 firings) ' maniac', # zeal (61 firings) ' zeal', # exhaust (60 firings) ' exhaustive', # glu (56 firings) ' glued', # hoop (56 firings) ' hoop', # flirt (54 firings) ' flirt', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'devot-family', 1 def prog_L07F21943(input_tokens): """13 token families, 18 surface forms (train F1 of the uncapped optimum: 0.079). Fires at 101,913 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases expressing agreement or acceptance""" # --- end external annotation --- fire = { # thi (4,515 firings) ' this', ' THIS', # your (1,759 firings) ' your', # her (1,695 firings) ' her', ' hers', ' HER', # what (1,449 firings) ' what', ' WHAT', # our (1,342 firings) ' our', # these (1,264 firings) ' these', ' THESE', # those (1,076 firings) ' those', # me (843 firings) ' me', # idea (386 firings) ' idea', # anyth (371 firings) ' anything', # anyone (350 firings) ' anyone', # everyth (349 firings) ' everything', # current (293 firings) ' current', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'thi-family', 1 def prog_L07F21944(input_tokens): """28 token families, 59 surface forms (train F1 of the uncapped optimum: 0.167). Fires at 146,432 of 36,786,566 positions. Fires at 0.40% 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: words or fragments related to character names or titles""" # --- end external annotation --- fire = { # - (4,051 firings) '-', # o (1,999 firings) 'o', 'O', ' O', 'ño', 'oğ', # y (1,083 firings) 'y', 'Y', # en (985 firings) 'en', 'EN', ' EN', # on (979 firings) 'on', 'ON', # er (975 firings) 'er', 'ER', # a (869 firings) 'a', 'ña', 'ía', 'ça', # al (829 firings) 'al', 'AL', # an (778 firings) 'an', 'AN', # as (705 firings) 'as', 'AS', # e (688 firings) 'e', 'ée', # i (681 firings) 'i', # z (676 firings) 'z', # ad (533 firings) 'ad', ' Ad', 'AD', # os (521 firings) 'os', 'OS', # u (513 firings) 'u', # ar (488 firings) 'ar', 'AR', # h (483 firings) 'h', # at (472 firings) 'at', # alert (471 firings) ' alerts', ' Alert', 'Alert', # ne (456 firings) 'ne', # sport (447 firings) ' Sports', 'Sports', 'sports', ' SPORTS', # ist (440 firings) 'ist', 'ister', 'ISTER', # le (431 firings) 'le', # ore (417 firings) 'ORE', 'ore', 'ores', # ia (408 firings) 'ia', 'IA', # am (407 firings) 'am', # ville (379 firings) 'ville', 'VILLE', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1 def prog_L07F21945(input_tokens): """10 token families, 17 surface forms (train F1 of the uncapped optimum: 0.718). Fires at 14,942 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of Twitter and its related functionalities""" # --- end external annotation --- fire = { # twitt (6,470 firings) ' Twitter', 'Twitter', ' twitter', # tweet (1,449 firings) ' tweets', ' tweeted', ' tweeting', # tw (401 firings) ' Tw', ' TW', 'TW', # follow (377 firings) ' followers', # twe (155 firings) ' Twe', 'Twe', # colbert (122 firings) ' Colbert', # twitch (120 firings) ' Twitch', # waterloo (114 firings) ' Waterloo', # izen (87 firings) 'izens', # irc (42 firings) ' IRC', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'twitt-family', 1 def prog_L07F21946(input_tokens): """3 token families, 3 surface forms (train F1 of the uncapped optimum: 0.084). Fires at 70,949 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to health-related topics and conditions""" # --- end external annotation --- fire = { # , (57,502 firings) ',', # ), (1,051 firings) '),', # ; (670 firings) ';', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L07F21947(input_tokens): """22 token families, 68 surface forms (train F1 of the uncapped optimum: 0.341). Fires at 67,898 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: technical specifications and features related to computer hardware""" # --- end external annotation --- fire = { # core (735 firings) ' Core', 'core', ' core', 'Core', # chip (712 firings) ' chip', ' chips', 'chip', ' Chips', 'Chip', # perform (708 firings) ' performance', 'performance', ' Performance', 'Performance', # processor (643 firings) ' processor', ' processors', ' Processor', 'processor', # intel (508 firings) ' Intel', 'Intel', ' intel', 'intel', # graphic (458 firings) ' graphics', ' Graphics', 'Graphics', # display (432 firings) ' display', ' displays', ' Display', 'Display', # gpu (421 firings) ' GPU', ' GPUs', 'GPU', 'gpu', # memory (376 firings) ' memory', ' Memory', 'Memory', 'memory', # cpu (360 firings) ' CPU', ' CPUs', 'CPU', ' cpu', # architecture (335 firings) ' architecture', ' Architecture', # cool (335 firings) ' cooling', ' cooler', 'cool', ' Cool', 'Cool', # micro (286 firings) ' micro', ' Micro', 'Micro', # amd (268 firings) ' AMD', 'AMD', # genera (266 firings) 'generation', # gtx (228 firings) ' GTX', # benchmark (227 firings) ' benchmark', ' benchmarks', # spec (208 firings) ' specs', ' spec', 'Spec', ' SPEC', # dual (203 firings) ' dual', ' Dual', 'Dual', # bit (197 firings) 'bit', 'bits', # ghz (177 firings) 'GHz', ' GHz', # geforce (170 firings) ' GeForce', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'core-family', 1 def prog_L07F21948(input_tokens): """18 token families, 45 surface forms (train F1 of the uncapped optimum: 0.094). Fires at 710,557 of 36,786,566 positions. Fires at 1.93% 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 that involve political authority and mandates""" # --- end external annotation --- fire = { # of (23,550 firings) ' of', ' OF', # to (21,428 firings) ' to', ' TO', # for (9,474 firings) ' for', ' FOR', # on (9,213 firings) ' on', ' ON', # with (6,117 firings) ' with', ' WITH', # by (4,710 firings) ' by', # his (4,608 firings) ' his', ' HIS', # their (3,713 firings) ' their', ' THEIR', ' theirs', # year (3,534 firings) ' years', ' year', ' Year', ' Years', ' YEAR', 'Year', ' yearly', # he (3,333 firings) ' he', ' HE', # last (2,976 firings) ' last', ' lasted', ' lasting', ' lasts', ' LAST', 'lasting', # about (2,958 firings) ' about', ' About', 'about', ' ABOUT', # they (2,806 firings) ' they', ' THEY', # who (2,664 firings) ' who', ' WHO', # its (2,406 firings) ' its', # her (2,301 firings) ' her', ' HER', # than (1,817 firings) ' than', ' Than', # $ (1,785 firings) ' $', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'of-family', 1 def prog_L07F21949(input_tokens): """26 token families, 38 surface forms (train F1 of the uncapped optimum: 0.508). Fires at 9,453 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of savings""" # --- end external annotation --- fire = { # sav (1,837 firings) ' savings', ' saved', ' saving', ' saves', 'saving', 'sav', ' Saving', ' Savings', 'Sav', # save (938 firings) ' save', ' Save', 'Save', # wilder (192 firings) ' wilderness', ' Wilderness', # wich (168 firings) 'wich', # salva (136 firings) ' Salvation', ' salvation', # brows (99 firings) ' browsing', # fortres (87 firings) ' Fortress', # sol (76 firings) ' sol', # shav (74 firings) ' shaving', # over (69 firings) 'overs', # reduction (59 firings) ' reductions', # sophia (58 firings) ' Sophia', # cutt (58 firings) 'cutting', # buck (49 firings) 'bucks', # hew (47 firings) 'hew', # wisdom (43 firings) ' Wisdom', # insula (40 firings) ' insulation', # smok (40 firings) ' smokers', # masturba (37 firings) ' masturbation', # avoid (36 firings) ' avoidance', # stash (34 firings) ' stash', # 🙂 (34 firings) ' 🙂', # scissor (33 firings) ' scissors', # shortfall (32 firings) ' shortfall', # withdrawal (31 firings) ' withdrawals', # ienc (29 firings) 'iencies', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'sav-family', 1 def prog_L07F21950(input_tokens): """4 token families, 4 surface forms (train F1 of the uncapped optimum: 0.073). Fires at 29,876 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the NCAA D-League or related basketball topics""" # --- end external annotation --- fire = { # - (13,036 firings) '-', # _ (155 firings) '_', # & (152 firings) '&', # more (78 firings) ' MORE', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1 def prog_L07F21951(input_tokens): """14 token families, 28 surface forms (train F1 of the uncapped optimum: 0.159). Fires at 431,912 of 36,786,566 positions. Fires at 1.17% 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 demographics, attributes, or characteristics of subjects""" # --- end external annotation --- fire = { # ) (4,596 firings) ')', # year (3,717 firings) ' years', ' year', # " (2,767 firings) '"', # people (2,530 firings) ' people', # home (1,963 firings) ' home', # world (1,936 firings) ' world', # old (1,734 firings) 'old', ' old', ' older', 'olds', ' olds', 'older', # govern (1,537 firings) ' government', ' governments', ' governance', ' governed', # law (1,414 firings) ' law', ' laws', 'law', # univers (1,330 firings) ' University', ' universities', ' universes', # name (1,266 firings) ' name', # life (1,190 firings) ' life', # stat (1,108 firings) ' States', ' states', # police (1,082 firings) ' police', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ')-family', 1 def prog_L07F21952(input_tokens): """34 token families, 68 surface forms (train F1 of the uncapped optimum: 0.480). Fires at 134,244 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: objects and items often associated with logistical or security contexts""" # --- end external annotation --- fire = { # ers (1,409 firings) 'ers', # car (1,284 firings) ' cars', ' Cars', 'cars', # card (1,044 firings) ' cards', ' Cards', 'cards', # vehicl (850 firings) ' vehicles', ' Vehicles', # camera (848 firings) ' cameras', # phon (800 firings) ' phones', 'phones', 'Phones', # offic (756 firings) ' officers', # cell (700 firings) ' cells', ' Cells', 'cells', # hom (651 firings) ' homes', ' Homes', # ads (648 firings) ' ads', 'ads', ' Ads', # bag (632 firings) ' bags', 'bags', # dog (608 firings) ' dogs', ' Dogs', 'dogs', # bomb (598 firings) ' bombs', ' bombers', ' bombings', ' Bombs', # hand (580 firings) ' hands', # ticket (543 firings) ' tickets', ' Tickets', 'Tickets', # box (531 firings) ' boxes', 'boxes', # machin (522 firings) ' machines', ' Machines', # account (516 firings) ' accounts', # sign (516 firings) ' signs', # gun (487 firings) ' guns', 'guns', # comput (481 firings) ' computers', # unit (479 firings) ' units', ' Units', 'units', # test (462 firings) ' tests', ' testers', 'tests', # truck (447 firings) ' trucks', # plan (419 firings) ' planes', 'planes', ' Planes', # hous (404 firings) ' houses', 'houses', ' Houses', # light (402 firings) ' lights', 'lights', # missil (399 firings) ' missiles', # lett (392 firings) ' letters', 'letters', # messag (379 firings) ' messages', # jet (377 firings) ' jets', # train (359 firings) ' trains', ' trainers', # bus (349 firings) ' buses', # wall (347 firings) ' walls', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ers-family', 1 def prog_L07F21953(input_tokens): """20 token families, 26 surface forms (train F1 of the uncapped optimum: 0.134). Fires at 91,364 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: technical specifications or version information of software or devices""" # --- end external annotation --- fire = { # : (4,520 firings) ':', # year (3,700 firings) ' years', 'year', # ] (1,289 firings) ']', # 5 (1,276 firings) '5', # 0 (1,255 firings) '0', # week (979 firings) ' weeks', 'week', ' Weeks', # nd (714 firings) 'nd', # 30 (547 firings) '30', # 4 (521 firings) '4', # hour (505 firings) ' hours', 'hour', # 8 (497 firings) '8', # 6 (443 firings) '6', # billion (392 firings) ' billion', 'billion', ' Billion', # 00 (387 firings) '00', # 7 (375 firings) '7', # ][ (326 firings) '][', # time (240 firings) 'time', # 500 (236 firings) '500', # x (235 firings) 'x', # day (233 firings) 'day', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ':-family', 1 def prog_L07F21954(input_tokens): """15 token families, 28 surface forms (train F1 of the uncapped optimum: 0.076). Fires at 336,110 of 36,786,566 positions. Fires at 0.91% 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 and words that convey emotional intensity or descriptions of experiences""" # --- end external annotation --- fire = { # , (34,262 firings) ',', # and (16,846 firings) ' and', ' And', 'And', # as (5,737 firings) ' as', # all (2,973 firings) ' all', ' All', 'all', # — (2,953 firings) ' —', '—', # which (1,970 firings) ' which', 'which', # it (1,635 firings) ' It', # so (1,613 firings) ' so', # when (1,547 firings) ' when', 'when', # – (1,499 firings) ' –', '–', # ; (1,354 firings) ';', ' ;', # like (1,281 firings) ' like', ' Like', # while (1,020 firings) ' while', 'while', # - (1,012 firings) ' -', # even (983 firings) ' even', ' Even', 'even', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L07F21955(input_tokens): """2 token families, 4 surface forms (train F1 of the uncapped optimum: 0.504). Fires at 5,431 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating distance or separation""" # --- end external annotation --- fire = { # far (3,707 firings) ' far', 'far', ' FAR', # insofar (19 firings) ' insofar', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'far-family', 1 def prog_L07F21956(input_tokens): """15 token families, 30 surface forms (train F1 of the uncapped optimum: 0.759). Fires at 12,152 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to "source" material or citations""" # --- end external annotation --- fire = { # source (5,154 firings) ' source', 'Source', ' Source', 'source', 'SOURCE', # sourc (2,160 firings) ' sources', ' sourced', ' Sources', ' sourcing', # destina (433 firings) ' destination', ' Destination', # suppli (423 firings) ' supplier', ' suppliers', # origin (270 firings) ' origin', # fountain (149 firings) ' fountain', ' Fountain', # withhold (141 firings) ' withhold', ' withholding', # ourc (130 firings) 'ourced', 'ources', 'ourcing', # informant (104 firings) ' informant', ' informants', # insid (100 firings) ' insider', # trove (76 firings) ' trove', # originat (58 firings) ' originating', # ource (53 firings) 'ource', 'OURCE', # ribut (51 firings) 'ribut', # supplement (42 firings) ' supplemental', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'source-family', 1 def prog_L07F21957(input_tokens): """10 token families, 19 surface forms (train F1 of the uncapped optimum: 0.109). Fires at 174,240 of 36,786,566 positions. Fires at 0.47% 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 specific individuals, organizations, or authorities in a formal context""" # --- end external annotation --- fire = { # s (3,150 firings) 's', # trump (1,369 firings) ' Trump', ' TRUMP', # obama (1,078 firings) ' Obama', # govern (1,027 firings) ' government', ' Government', ' governments', ' Governments', # com (901 firings) 'com', # administra (635 firings) ' administration', ' Administration', # party (564 firings) ' Party', ' party', # media (509 firings) ' media', # depart (479 firings) ' Department', ' department', ' departments', # clinton (451 firings) ' Clinton', ' Clintons', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 's-family', 1 def prog_L07F21958(input_tokens): """12 token families, 12 surface forms (train F1 of the uncapped optimum: 0.459). Fires at 6,017 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the phrase "continued below." """ # --- end external annotation --- fire = { # highlight (909 firings) ' highlights', # continu (447 firings) ' Continued', # below (424 firings) ' Below', # spread (190 firings) 'Spread', # cript (95 firings) 'cript', # field (71 firings) 'FIELD', # akin (36 firings) ' Akin', # lat (36 firings) ' Latest', # trend (32 firings) 'Trend', # replay (27 firings) ' Replay', # repe (17 firings) 'Repe', # dk (16 firings) ' DK', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'highlight-family', 1 def prog_L07F21959(input_tokens): """44 token families, 68 surface forms (train F1 of the uncapped optimum: 0.617). Fires at 12,404 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to texture in various contexts""" # --- end external annotation --- fire = { # tex (285 firings) ' Tex', 'Tex', 'tex', ' tex', # uv (218 firings) 'uv', ' UV', 'UV', # terrain (196 firings) ' terrain', # texture (177 firings) ' texture', ' Texture', 'Texture', 'texture', # therm (163 firings) ' thermal', ' Thermal', # sculpt (158 firings) ' sculpt', # brutal (158 firings) ' brutality', # struct (152 firings) 'struct', ' struct', 'Struct', ' Struct', # tes (151 firings) ' Tes', ' Tess', 'Tes', # mesh (141 firings) ' mesh', ' Mesh', ' meshes', 'Mesh', # essa (138 firings) 'essa', # text (137 firings) ' Text', ' TEXT', # nicole (136 firings) ' Nicole', # matte (124 firings) ' Matte', ' matte', # sergei (120 firings) ' Sergei', # melania (118 firings) ' Melania', # textur (112 firings) ' textures', 'Textures', # etz (107 firings) 'etz', # otte (105 firings) 'otte', # tek (105 firings) ' Tek', 'tek', # consistency (99 firings) ' consistency', # melee (98 firings) ' Melee', ' melee', # scenery (94 firings) ' scenery', # landscap (90 firings) ' landscapes', # sweat (85 firings) ' sweater', # univ (83 firings) ' Univers', ' univers', # tyre (81 firings) ' tyre', # spat (81 firings) ' spatial', # tim (79 firings) ' tim', # ulst (79 firings) ' Ulster', # flor (77 firings) ' Florence', # palette (76 firings) ' palette', # geometry (75 firings) ' geometry', # flavour (71 firings) ' flavour', # moisture (70 firings) ' moisture', # trey (66 firings) ' Trey', # fract (64 firings) ' fract', ' Fract', # textile (62 firings) ' textile', # tyr (61 firings) ' tyres', # tina (56 firings) ' Tina', # bruis (48 firings) ' bruises', # stamina (43 firings) ' stamina', # filesystem (43 firings) ' filesystem', # tactile (40 firings) ' tactile', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'tex-family', 1 def prog_L07F21960(input_tokens): """33 token families, 44 surface forms (train F1 of the uncapped optimum: 0.416). Fires at 18,085 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to sports conferences""" # --- end external annotation --- fire = { # league (1,163 firings) ' League', # divi (1,160 firings) ' division', ' Division', 'division', # confer (1,101 firings) ' Conference', 'conference', # championship (346 firings) ' Championship', # sec (342 firings) ' SEC', 'SEC', # afc (318 firings) ' AFC', # nfc (314 firings) ' NFC', # eastern (281 firings) ' Eastern', # stand (197 firings) ' standings', # bracket (196 firings) ' bracket', ' brackets', # continent (196 firings) ' continental', 'continental', ' Continental', # ten (191 firings) ' Ten', # fc (186 firings) 'FC', # acc (180 firings) ' ACC', 'ACC', # calendar (136 firings) ' calendar', # playoff (131 firings) ' Playoffs', ' Playoff', # corridor (126 firings) ' corridor', ' Corridor', # al (118 firings) ' AL', # conc (114 firings) ' CONC', # division (100 firings) ' divisions', # nl (85 firings) ' NL', # premiership (85 firings) ' Premiership', # northeastern (85 firings) ' northeastern', # ahl (73 firings) ' AHL', # igue (72 firings) 'igue', # acket (66 firings) 'acket', 'ackets', # northeast (61 firings) ' Northeast', # abdomin (59 firings) ' abdominal', # hemisphere (53 firings) ' Hemisphere', # relega (48 firings) ' relegation', # nw (48 firings) ' NW', # lockout (47 firings) ' lockout', # schedul (47 firings) ' scheduling', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'league-family', 1 def prog_L07F21961(input_tokens): """25 token families, 48 surface forms (train F1 of the uncapped optimum: 0.440). Fires at 35,096 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to specific legislative bills""" # --- end external annotation --- fire = { # bill (5,086 firings) ' bill', ' Bill', ' bills', 'Bill', 'BILL', # law (2,626 firings) ' law', ' Law', ' Laws', 'laws', # act (1,941 firings) ' Act', ' Acts', # legisla (1,043 firings) ' legislation', ' Legislation', # measure (715 firings) ' measure', ' Measure', # constitu (571 firings) ' constitution', ' Constitution', # resolu (477 firings) ' resolution', ' Resolution', # amend (465 firings) ' amendment', ' amendments', ' Amendments', # initiat (407 firings) ' initiative', ' Initiative', # motion (403 firings) ' motion', ' motions', # ballot (370 firings) ' ballot', # plan (343 firings) ' Plan', # ordin (338 firings) ' ordinance', # prop (264 firings) ' Prop', 'Prop', # ord (236 firings) ' Order', ' Ord', # sb (188 firings) ' SB', 'SB', # hb (181 firings) ' HB', 'HB', # chart (172 firings) ' Charter', ' charter', # budget (153 firings) ' Budget', # sec (140 firings) ' Section', 'Section', # decree (115 firings) ' decree', # proposi (106 firings) ' Proposition', # declara (102 firings) ' Declaration', # stat (102 firings) ' Stat', 'Stat', # rul (91 firings) ' Rules', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'bill-family', 1 def prog_L07F21962(input_tokens): """12 token families, 18 surface forms (train F1 of the uncapped optimum: 0.174). Fires at 473,264 of 36,786,566 positions. Fires at 1.29% 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 formal organizations or associations mentioned in the text""" # --- end external annotation --- fire = { # \n (139,558 firings) '\n', # . (105,521 firings) '.', # the (24,683 firings) 'The', ' The', # " (4,966 firings) '"', # in (3,149 firings) 'In', # ." (2,916 firings) '."', ' ."', # as (2,065 firings) 'As', ' As', # ). (1,937 firings) ').', ' ).', # ," (1,756 firings) ',"', ' ,"', # ] (1,599 firings) ']', # accord (1,513 firings) 'According', ' According', # he (1,267 firings) 'He', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '\\n-family', 1 def prog_L07F21963(input_tokens): """28 token families, 43 surface forms (train F1 of the uncapped optimum: 0.378). Fires at 47,706 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: words related to observation-related structures or locations""" # --- end external annotation --- fire = { # atory (720 firings) 'atory', # room (497 firings) 'room', 'rooms', # ation (475 firings) 'ation', 'ATION', # house (415 firings) 'house', # ary (415 firings) 'ary', 'ARY', # ity (394 firings) 'ity', 'ITY', # ator (381 firings) 'ator', 'atories', 'atorial', 'ATOR', # ry (327 firings) 'ry', # ival (290 firings) 'ival', 'ivals', # ery (265 firings) 'ery', 'ERY', # ium (256 firings) 'ium', 'IUM', # sanctuary (226 firings) ' sanctuary', ' Sanctuary', # ari (224 firings) 'aries', 'arious', # yard (219 firings) 'yard', 'yards', # iti (200 firings) 'ities', # iou (196 firings) 'ious', # oir (191 firings) 'oir', # barn (173 firings) ' barn', # ocese (144 firings) 'ocese', # ows (140 firings) 'ows', # ency (135 firings) 'ency', 'ENCY', # arium (133 firings) 'arium', # aph (132 firings) 'aph', # asi (128 firings) 'asis', # cathedr (128 firings) ' cathedral', ' Cathedral', # ora (127 firings) 'oration', # itarian (126 firings) 'itarian', # respiratory (122 firings) ' respiratory', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'atory-family', 1 def prog_L07F21964(input_tokens): """33 token families, 39 surface forms (train F1 of the uncapped optimum: 0.582). Fires at 8,231 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating negative impacts or consequences""" # --- end external annotation --- fire = { # blow (1,286 firings) ' blow', ' blows', ' Blow', 'blow', # punch (244 firings) ' punch', # blew (235 firings) ' blew', # setback (230 firings) ' setback', # pastebin (204 firings) ' Pastebin', # bombshell (164 firings) ' bombshell', # wim (146 firings) ' Wim', # andrew (111 firings) ' Andrews', # cum (109 firings) ' Cum', 'cum', # insult (93 firings) ' insult', # tide (79 firings) ' Tide', # fro (73 firings) ' fro', # payday (70 firings) ' payday', # boon (67 firings) ' boon', # slap (65 firings) ' slap', # craw (60 firings) ' Craw', ' craw', # beam (55 firings) ' Beam', # swipe (55 firings) ' swipe', # break (54 firings) 'breaker', ' breaker', # candle (51 firings) ' candle', # tumble (45 firings) ' tumble', # casualty (45 firings) ' casualty', # pow (42 firings) ' Pow', # sham (40 firings) ' sham', # ront (37 firings) 'ront', # rag (34 firings) ' rag', # bear (29 firings) ' bearer', # bye (27 firings) 'bye', # cutt (23 firings) ' cutter', # bleach (22 firings) ' bleach', # beard (22 firings) 'beard', # bang (22 firings) 'bang', # grail (22 firings) ' Grail', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'blow-family', 1 def prog_L07F21965(input_tokens): """3 token families, 6 surface forms (train F1 of the uncapped optimum: 0.094). Fires at 41,859 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to organizations or institutions""" # --- end external annotation --- fire = { # of (35,474 firings) ' of', ' Of', 'of', ' OF', # de (352 firings) ' de', # des (170 firings) ' des', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'of-family', 1 def prog_L07F21966(input_tokens): """29 token families, 38 surface forms (train F1 of the uncapped optimum: 0.585). Fires at 6,360 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to exit polls""" # --- end external annotation --- fire = { # exit (1,194 firings) ' exit', 'Exit', ' exited', ' exiting', ' exits', ' Exit', 'exit', # escape (335 firings) ' escape', ' Escape', # entr (193 firings) ' entrance', # trevor (180 firings) ' Trevor', # withdraw (163 firings) ' withdrawal', # eject (155 firings) ' ejected', ' eject', # elimina (137 firings) ' elimination', # ent (137 firings) 'enter', ' ENTER', # arri (131 firings) ' Arri', # eliminat (90 firings) ' eliminated', # val (82 firings) 'vals', # unh (75 firings) ' unh', # exodu (70 firings) ' exodus', # unl (54 firings) ' unl', # eye (42 firings) ' Eyes', # diseng (41 firings) ' diseng', # disembark (41 firings) ' disembark', # abeth (41 firings) 'abeth', # revers (40 firings) ' reversible', # xit (38 firings) 'xit', # door (36 firings) ' Doors', # departur (34 firings) ' departures', # investor (32 firings) ' Investor', # igni (30 firings) ' ignition', # obst (24 firings) ' Obst', # unfavor (21 firings) ' unfavorable', # eb (20 firings) ' EB', # abort (20 firings) ' abort', # rem (16 firings) ' REM', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'exit-family', 1 def prog_L07F21967(input_tokens): """9 token families, 16 surface forms (train F1 of the uncapped optimum: 0.794). Fires at 21,289 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to sources or reports in the text""" # --- end external annotation --- fire = { # accord (17,059 firings) ' according', 'According', ' According', 'according', # bas (483 firings) 'Based', ' Based', # per (342 firings) 'Per', # due (252 firings) ' Due', 'Due', # sourc (146 firings) 'Sources', # depend (126 firings) ' Depending', 'Depending', # interest (111 firings) ' Interestingly', 'Interestingly', # rary (81 firings) 'rary', # needles (66 firings) ' Needless', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'accord-family', 1 def prog_L07F21968(input_tokens): """40 token families, 49 surface forms (train F1 of the uncapped optimum: 0.624). Fires at 11,657 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the Marine Corps""" # --- end external annotation --- fire = { # marine (1,273 firings) ' Marine', ' marine', 'marine', # mar (684 firings) 'Mar', 'MAR', # marin (370 firings) ' Marines', ' Marin', ' marines', # oracle (327 firings) ' Oracle', 'Oracle', # jungle (262 firings) ' jungle', ' Jungle', # rogue (213 firings) ' Rogue', 'Rogue', # corp (200 firings) ' Corps', # payp (195 firings) ' PayPal', # ninja (129 firings) ' Ninja', # amphib (107 firings) ' amphib', # marion (102 firings) ' Marion', # marina (100 firings) ' Marina', # rang (98 firings) ' Ranger', ' ranger', # aroo (88 firings) 'aroo', # camouflage (86 firings) ' camouflage', # philipp (80 firings) 'Philipp', # opt (77 firings) 'opter', # normandy (68 firings) ' Normandy', # biologist (67 firings) ' biologist', # mare (64 firings) ' Mare', # marie (64 firings) 'Marie', # opu (63 firings) 'opus', # sas (55 firings) ' SAS', # anti (54 firings) 'antis', # scar (53 firings) 'Scar', # sailor (52 firings) ' sailor', # amar (51 firings) 'amar', # butterf (51 firings) ' butterfly', # brit (49 firings) 'Brit', # orge (49 firings) 'orge', # seal (49 firings) ' SEAL', # koran (46 firings) ' Koran', # mech (45 firings) 'Mech', # serge (44 firings) ' Serge', # aut (43 firings) 'autical', # fisher (37 firings) ' Fisheries', # commando (36 firings) ' Commando', # ungle (35 firings) 'ungle', # scarlett (33 firings) ' Scarlett', # iator (31 firings) 'iator', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'marine-family', 1 def prog_L07F21969(input_tokens): """12 token families, 16 surface forms (train F1 of the uncapped optimum: 0.094). Fires at 52,196 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to societal structures and relationships""" # --- end external annotation --- fire = { # day (797 firings) ' day', # thing (711 firings) ' thing', # person (627 firings) ' person', ' PERSON', # step (306 firings) ' step', ' Step', # count (269 firings) ' count', # source (257 firings) ' source', # piece (252 firings) ' piece', ' Piece', # team (230 firings) ' teams', # reason (227 firings) ' reason', 'Reason', # hand (221 firings) ' hand', # word (160 firings) ' word', # spec (141 firings) ' species', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'day-family', 1 def prog_L07F21970(input_tokens): """5 token families, 7 surface forms (train F1 of the uncapped optimum: 0.101). Fires at 57,202 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: intensifiers or modifiers, particularly the word "very" and its variations""" # --- end external annotation --- fire = { # no (2,031 firings) ' no', # very (1,411 firings) ' very', 'very', ' Very', # once (591 firings) ' once', # quite (360 firings) ' quite', # eith (182 firings) ' either', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'no-family', 1 def prog_L07F21971(input_tokens): """18 token families, 62 surface forms (train F1 of the uncapped optimum: 0.309). Fires at 82,848 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to beer types and their characteristics""" # --- end external annotation --- fire = { # beer (2,085 firings) ' beer', ' beers', ' Beer', 'Beer', 'beer', # brew (1,573 firings) ' Brewing', ' brew', ' brewing', ' Brew', ' brewers', ' brewed', ' brewer', 'brew', 'Brew', ' Brewers', # brewery (582 firings) ' brewery', ' Brewery', # craft (576 firings) ' craft', ' Craft', 'crafted', # brand (550 firings) ' brand', ' brands', ' Brands', # flavor (445 firings) ' flavors', ' flavor', ' flavorful', ' flavored', ' Flavor', # sweet (437 firings) ' sweet', ' Sweet', ' sweetness', 'sweet', 'Sweet', # flagship (403 firings) ' flagship', # wine (364 firings) ' wine', ' Wine', 'wine', # ale (305 firings) ' Ale', ' ale', 'Ale', ' ALE', # hop (296 firings) ' Hop', ' hops', ' hop', 'Hop', # barrel (256 firings) ' barrel', ' barrels', ' Barrel', # tap (246 firings) ' tap', ' Tap', ' taps', 'tap', # brewer (233 firings) ' breweries', # coffee (228 firings) ' coffee', ' Coffee', # tast (225 firings) ' tasting', ' tasted', ' tastes', ' tast', # company (216 firings) ' Company', # dist (210 firings) ' dist', ' Dist', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'beer-family', 1 def prog_L07F21972(input_tokens): """11 token families, 13 surface forms (train F1 of the uncapped optimum: 0.091). Fires at 71,315 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to specific groups or entities in various contexts""" # --- end external annotation --- fire = { # them (1,530 firings) ' them', ' themes', # those (1,000 firings) ' those', # these (683 firings) ' these', ' THESE', # play (399 firings) ' players', # research (311 firings) ' researchers', # reason (240 firings) ' reasons', # victim (227 firings) ' victims', # friend (200 firings) ' friends', # scientist (194 firings) ' scientists', # whom (193 firings) ' whom', # organization (182 firings) ' organizations', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'them-family', 1 def prog_L07F21973(input_tokens): """8 token families, 20 surface forms (train F1 of the uncapped optimum: 0.150). Fires at 57,175 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: programming functions and code-related structures""" # --- end external annotation --- fire = { # x (672 firings) 'x', ' X', ' x', # _ (518 firings) '_', # :// (340 firings) '://', # log (188 firings) ' log', 'log', ' logs', ' Log', 'Log', # of (184 firings) 'of', # www (165 firings) 'www', ' www', # () (156 firings) '()', ' ()', # func (145 firings) ' function', 'function', ' Function', 'func', ' func', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'x-family', 1 def prog_L07F21974(input_tokens): """18 token families, 29 surface forms (train F1 of the uncapped optimum: 0.205). Fires at 106,196 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: various forms of sports and entertainment activities""" # --- end external annotation --- fire = { # game (1,564 firings) ' game', # gam (1,420 firings) ' games', # video (1,412 firings) ' video', ' videos', ' VIDEO', # book (932 firings) ' book', ' books', 'books', # mus (701 firings) ' music', # football (629 firings) ' football', # food (580 firings) ' food', ' foods', # beer (549 firings) ' beer', ' beers', # movie (480 firings) ' movie', # mov (459 firings) ' movies', ' Movies', # flag (453 firings) ' flag', ' flags', # marijuana (380 firings) ' marijuana', # coffee (373 firings) ' coffee', # ball (368 firings) ' ball', ' balls', 'balls', # train (318 firings) ' training', # surgery (306 firings) ' surgery', # drink (302 firings) ' drink', ' drinks', # drug (274 firings) ' drugs', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'game-family', 1 def prog_L07F21975(input_tokens): """12 token families, 18 surface forms (train F1 of the uncapped optimum: 0.127). Fires at 52,046 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to a specific geographic location, particularly Timbuktoo and its cultural significance""" # --- end external annotation --- fire = { # y (471 firings) 'y', # an (457 firings) 'an', # on (441 firings) 'on', # al (393 firings) ' al', # el (286 firings) 'el', # disney (277 firings) ' Disney', # is (264 firings) 'IS', # pe (213 firings) 'pe', ' Pe', 'PE', # mer (183 firings) 'mer', 'MER', # per (162 firings) 'per', 'pered', 'pers', # kaine (139 firings) ' Kaine', # cook (138 firings) ' Cook', ' Cookies', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'y-family', 1 def prog_L07F21976(input_tokens): """17 token families, 24 surface forms (train F1 of the uncapped optimum: 0.116). Fires at 523,278 of 36,786,566 positions. Fires at 1.42% 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: instances of teaching or educational experiences""" # --- end external annotation --- fire = { # in (19,990 firings) ' in', # are (8,166 firings) ' are', # as (7,770 firings) ' as', # from (7,061 firings) ' from', # by (7,030 firings) ' by', # be (5,247 firings) ' be', # have (5,219 firings) ' have', 'have', # were (4,944 firings) ' were', 'were', ' Were', # which (4,156 firings) ' which', 'which', # not (4,062 firings) ' not', # t (3,056 firings) 't', ' t', # than (2,974 firings) ' than', # up (2,631 firings) ' up', # into (2,252 firings) ' into', # them (1,936 firings) ' them', 'them', # off (1,505 firings) ' off', ' offer', # only (1,449 firings) ' only', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'in-family', 1 def prog_L07F21977(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.560). Fires at 47,836 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the term "this" within various contexts""" # --- end external annotation --- fire = { # thi (40,506 firings) ' this', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'thi-family', 1 def prog_L07F21978(input_tokens): """3 token families, 3 surface forms (train F1 of the uncapped optimum: 0.061). Fires at 18,697 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating something that has not yet occurred or been confirmed""" # --- end external annotation --- fire = { # yet (672 firings) ' yet', # nev (385 firings) ' never', # to (185 firings) 'to', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'yet-family', 1 def prog_L07F21979(input_tokens): """11 token families, 15 surface forms (train F1 of the uncapped optimum: 0.048). Fires at 102,554 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of hypothetical situations or conditional statements""" # --- end external annotation --- fire = { # to (5,248 firings) ' to', # out (709 firings) ' out', # were (602 firings) ' were', # them (574 firings) ' them', # me (372 firings) ' me', # go (351 firings) ' go', ' GO', # do (351 firings) ' do', # every (312 firings) ' every', ' EVERY', # any (311 firings) ' any', # going (291 firings) ' going', # done (281 firings) ' done', 'done', ' Done', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'to-family', 1 def prog_L07F21980(input_tokens): """1 token families, 2 surface forms (train F1 of the uncapped optimum: 0.597). Fires at 11,911 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to actions or tasks that are being done or completed""" # --- end external annotation --- fire = { # thing (6,597 firings) ' things', 'things', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'thing-family', 1 def prog_L07F21981(input_tokens): """15 token families, 33 surface forms (train F1 of the uncapped optimum: 0.121). Fires at 106,601 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: topics related to societal issues and structures""" # --- end external annotation --- fire = { # soc (798 firings) ' social', ' Social', ' soc', # media (622 firings) ' media', # secur (490 firings) ' security', # health (486 firings) ' health', 'health', # fami (480 firings) ' family', 'family', # polit (459 firings) ' political', # econom (409 firings) ' economic', ' economies', 'economic', # culture (387 firings) ' culture', ' Culture', # technology (368 firings) ' technology', 'technology', # gend (355 firings) ' gender', ' Gender', ' genders', # right (343 firings) ' rights', 'rights', # educa (311 firings) ' education', 'education', # politic (275 firings) ' politics', ' Politics', 'politics', # climate (271 firings) ' climate', ' Climate', 'climate', # person (268 firings) ' personal', ' Personal', 'personal', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'soc-family', 1 def prog_L07F21982(input_tokens): """22 token families, 30 surface forms (train F1 of the uncapped optimum: 0.648). Fires at 10,623 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases that describe something being completely occupied or filled""" # --- end external annotation --- fire = { # fill (3,387 firings) ' filled', ' fill', ' filling', 'filled', ' Fill', ' fills', 'fill', 'Fill', # cel (235 firings) 'cel', # ing (206 firings) ' Ing', 'Ing', # populat (186 firings) ' populated', # flood (180 firings) ' flooded', # stuff (158 firings) ' stuffed', # icken (157 firings) 'icken', # ill (153 firings) 'illed', # og (140 firings) ' Og', # cub (99 firings) ' cubic', # decorat (96 firings) ' decorated', # ayette (84 firings) 'ayette', # dungeon (83 firings) ' Dungeons', # grat (77 firings) ' grat', # excel (65 firings) ' Excel', # cavern (57 firings) ' cavern', # pen (50 firings) ' Pens', # overflow (44 firings) ' overflowing', # onge (38 firings) 'onge', # fountain (33 firings) ' Fountain', # empty (31 firings) 'empty', # capac (31 firings) 'capacity', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'fill-family', 1 def prog_L07F21983(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.472). Fires at 87,707 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases that involve providing or getting something for someone or something""" # --- end external annotation --- fire = { # for (80,098 firings) ' for', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'for-family', 1 def prog_L07F21984(input_tokens): """1 token families, 2 surface forms (train F1 of the uncapped optimum: 0.223). Fires at 80,362 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "in" indicating various contexts or categories""" # --- end external annotation --- fire = { # in (65,498 firings) ' in', ' IN', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'in-family', 1 def prog_L07F21985(input_tokens): """12 token families, 17 surface forms (train F1 of the uncapped optimum: 0.760). Fires at 7,303 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to political majorities""" # --- end external annotation --- fire = { # major (3,321 firings) ' majority', ' Majority', 'majority', ' majorities', # minor (890 firings) ' minority', ' Minority', # overwhelm (220 firings) ' overwhelmingly', # third (214 firings) 'thirds', ' thirds', # bulk (175 firings) ' bulk', # predominant (149 firings) ' predominantly', # large (116 firings) 'large', # landslide (90 firings) ' landslide', # plural (56 firings) ' plurality', # rasmussen (50 firings) ' Rasmussen', # orum (33 firings) 'orum', # ority (31 firings) 'ority', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'major-family', 1 def prog_L07F21986(input_tokens): """14 token families, 20 surface forms (train F1 of the uncapped optimum: 0.062). Fires at 84,921 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: statements that emphasize negation or denial""" # --- end external annotation --- fire = { # be (2,689 firings) ' be', # not (1,922 firings) ' not', ' NOT', # just (1,002 firings) ' just', ' JUST', # good (680 firings) ' good', # very (633 firings) ' very', ' VERY', # part (541 firings) ' part', ' partly', # best (460 firings) ' best', ' BEST', # isn (340 firings) ' isn', # real (336 firings) ' really', ' REALLY', # great (327 firings) ' great', # kind (302 firings) ' kind', # someth (295 firings) ' something', # case (259 firings) ' case', # thing (217 firings) ' thing', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'be-family', 1 def prog_L07F21987(input_tokens): """2 token families, 2 surface forms (train F1 of the uncapped optimum: 0.348). Fires at 25,997 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: numerical values associated with distances or measurements""" # --- end external annotation --- fire = { # ) (18,300 firings) ')', # %) (342 firings) '%)', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ')-family', 1 def prog_L07F21988(input_tokens): """16 token families, 42 surface forms (train F1 of the uncapped optimum: 0.275). Fires at 208,219 of 36,786,566 positions. Fires at 0.57% 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: proper nouns, particularly names of individuals mentioned in criminal contexts""" # --- end external annotation --- fire = { # john (1,770 firings) ' John', 'John', 'JOHN', ' JOHN', # david (1,491 firings) ' David', 'David', # michael (1,405 firings) ' Michael', 'Michael', # old (1,296 firings) 'old', 'Old', # jam (1,103 firings) ' James', 'James', ' Jamal', 'Jam', # ie (1,036 firings) 'ie', # robert (832 firings) ' Robert', 'Robert', ' Roberts', # william (754 firings) ' William', ' Williams', 'William', 'Williams', # chri (721 firings) ' Chris', 'Chris', # richard (673 firings) ' Richard', 'Richard', ' Richards', # mike (661 firings) ' Mike', 'Mike', # scott (650 firings) ' Scott', 'Scott', # ah (584 firings) 'ah', 'Ah', ' Ah', # thoma (582 firings) ' Thomas', 'Thomas', # daniel (582 firings) ' Daniel', 'Daniel', ' Daniels', # eric (567 firings) ' Eric', 'Eric', 'eric', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'john-family', 1 def prog_L07F21989(input_tokens): """46 token families, 53 surface forms (train F1 of the uncapped optimum: 0.840). Fires at 14,494 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to Italy and the Italian language""" # --- end external annotation --- fire = { # italian (1,499 firings) ' Italian', 'Italian', ' Italians', # ita (1,398 firings) ' Italy', 'Italy', # rome (514 firings) ' Rome', # milan (420 firings) ' Milan', # mediterranean (349 firings) ' Mediterranean', # ferrari (348 firings) ' Ferrari', # rodriguez (344 firings) ' Rodriguez', # andrea (225 firings) ' Andrea', # juventu (173 firings) ' Juventus', # mafia (160 firings) ' mafia', ' Mafia', # angelo (159 firings) ' Angelo', 'angelo', 'Angelo', # fascist (158 firings) ' fascist', ' fascists', # roma (154 firings) ' Roma', # maharashtra (152 firings) ' Maharashtra', # ortiz (152 firings) ' Ortiz', # coni (148 firings) 'coni', # pasta (146 firings) ' pasta', # fi (146 firings) ' Fi', # gi (145 firings) ' Gi', # roberto (143 firings) ' Roberto', # serie (142 firings) ' Serie', # lomb (141 firings) ' Lomb', # fitzgerald (139 firings) ' Fitzgerald', # flor (132 firings) ' Florence', # franc (131 firings) ' Frances', # venice (125 firings) ' Venice', # via (117 firings) ' Via', # farrell (115 firings) ' Farrell', # renaiss (113 firings) ' Renaissance', # carlo (112 firings) ' Carlo', # ione (109 firings) 'ione', # illustrat (101 firings) ' Illustrated', # matte (100 firings) ' Matte', # lorenzo (94 firings) ' Lorenzo', # fiat (85 firings) ' Fiat', # fascism (85 firings) ' fascism', # rossi (83 firings) ' Rossi', # alp (74 firings) ' Alps', # circu (74 firings) ' Circus', # triumph (72 firings) ' Triumph', # roman (72 firings) ' Romans', # stef (70 firings) ' Stef', # salv (70 firings) ' Salv', # luigi (69 firings) ' Luigi', # marino (62 firings) ' Marino', # napl (61 firings) ' Naples', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'italian-family', 1 def prog_L07F21990(input_tokens): """37 token families, 43 surface forms (train F1 of the uncapped optimum: 0.521). Fires at 4,597 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: a specific character or symbol used in various contexts""" # --- end external annotation --- fire = { # pert (291 firings) 'pert', ' pert', # certif (145 firings) ' certified', ' Certified', # elliot (143 firings) ' Elliot', # chop (124 firings) ' chops', ' chop', ' Chop', # oint (122 firings) 'oint', # oped (97 firings) 'oped', # matrix (89 firings) ' Matrix', 'Matrix', # multit (76 firings) ' multit', # inat (69 firings) 'inates', # stant (67 firings) 'stant', # art (63 firings) 'arter', # phy (61 firings) 'phy', # neurot (43 firings) ' neurot', # 000000 (43 firings) '000000', # mmm (41 firings) 'mmm', # ophe (40 firings) 'ophe', # ensor (37 firings) 'ensor', # marty (34 firings) ' Marty', # verb (30 firings) 'verbal', # vec (28 firings) 'vec', ' vec', # 455 (27 firings) '455', # doct (26 firings) ' doct', # cook (25 firings) 'cooked', # eret (24 firings) 'eret', # cision (23 firings) 'cision', # ometry (20 firings) 'ometry', # δ (18 firings) ' Δ', # ochond (16 firings) 'ochond', # :::::::: (16 firings) '::::::::', # ──────── (15 firings) '────────', # ynt (15 firings) 'ynt', # mmmm (14 firings) 'mmmm', # entin (14 firings) 'entin', # チ (13 firings) 'チ', # urat (13 firings) 'urat', # 294 (13 firings) '294', # 456 (12 firings) '456', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'pert-family', 1 def prog_L07F21991(input_tokens): """34 token families, 45 surface forms (train F1 of the uncapped optimum: 0.548). Fires at 10,865 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to patents and intellectual property""" # --- end external annotation --- fire = { # patent (1,194 firings) ' patent', ' patents', ' Patent', ' patented', # trademark (383 firings) ' trademark', ' trademarks', # pir (258 firings) ' Pir', ' pir', 'Pir', # intellectu (235 firings) ' intellectual', ' Intellectual', # inven (228 firings) ' invention', # inventor (184 firings) ' inventor', # prize (174 firings) ' Prize', # tariff (170 firings) ' tariffs', ' tariff', # patterson (164 firings) ' Patterson', # vulnerabil (162 firings) ' vulnerabilities', # pardon (130 firings) ' pardon', # proprietary (120 firings) ' proprietary', # theodore (105 firings) ' Theodore', # marvin (98 firings) ' Marvin', # treaty (98 firings) ' Treaty', # warranty (93 firings) ' warranty', ' Warranty', # emark (88 firings) 'emark', # trad (88 firings) ' Trad', # invention (87 firings) ' inventions', # otechnology (85 firings) 'otechnology', # institut (79 firings) ' Institutes', # regulatory (78 firings) ' Regulatory', # yright (50 firings) 'yrights', 'yright', # monopo (48 firings) ' monopoly', # property (48 firings) ' Property', # prototyp (45 firings) ' prototypes', # ellectu (41 firings) 'ellectual', # redmond (41 firings) ' Redmond', # rfc (35 firings) ' RFC', 'RFC', # print (35 firings) 'prints', # disserta (32 firings) ' dissertation', # ulner (32 firings) 'ulnerability', # proven (29 firings) 'proven', # royalt (28 firings) ' royalties', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'patent-family', 1 def prog_L07F21992(input_tokens): """28 token families, 43 surface forms (train F1 of the uncapped optimum: 0.224). Fires at 263,264 of 36,786,566 positions. Fires at 0.72% 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: words related to launching or initiating actions or campaigns""" # --- end external annotation --- fire = { # been (9,598 firings) ' been', # announc (2,806 firings) ' announced', ' announcing', ' announces', # releas (2,297 firings) ' released', ' releasing', # found (2,161 firings) ' found', # come (1,730 firings) ' come', # reveal (1,605 firings) ' revealed', ' reveals', # confirm (1,556 firings) ' confirmed', ' confirm', ' confirms', ' confirming', # decid (1,275 firings) ' decided', # taken (1,256 firings) ' taken', # launch (1,235 firings) ' launched', ' launching', # become (1,075 firings) ' become', # sign (1,014 firings) ' signed', 'signed', # begun (967 firings) ' begun', # arrest (872 firings) ' arrested', # given (856 firings) ' given', # report (849 firings) ' reportedly', ' reporting', # agre (830 firings) ' agreed', # charg (819 firings) ' charged', # warn (801 firings) ' warned', ' warning', ' warns', # receiv (782 firings) ' received', # issu (769 firings) ' issued', ' issuing', # learn (751 firings) ' learned', # gone (734 firings) ' gone', # creat (723 firings) ' created', # died (709 firings) ' died', # fil (703 firings) ' filed', # join (688 firings) ' joined', ' joining', # order (662 firings) ' ordered', ' ordering', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'been-family', 1 def prog_L07F21993(input_tokens): """12 token families, 19 surface forms (train F1 of the uncapped optimum: 0.077). Fires at 155,728 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: terms related to legal charges and investigations""" # --- end external annotation --- fire = { # is (7,158 firings) ' is', # are (3,761 firings) ' are', # will (2,762 firings) ' will', # been (2,370 firings) ' been', # which (2,287 firings) ' which', 'which', # were (1,674 firings) ' were', 'were', # would (1,400 firings) ' would', # includ (1,106 firings) ' including', ' includes', ' included', # could (962 firings) ' could', # charg (780 firings) ' charges', 'charges', ' Charges', 'Charges', # came (468 firings) ' came', # issu (417 firings) ' issued', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'is-family', 1 def prog_L07F21994(input_tokens): """4 token families, 14 surface forms (train F1 of the uncapped optimum: 0.594). Fires at 19,753 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to the necessity of help or assistance""" # --- end external annotation --- fire = { # need (11,213 firings) ' need', ' needed', ' needs', ' Need', ' needing', 'Need', 'needed', 'need', ' Needs', 'needs', ' NEED', # deserve (143 firings) ' deserve', # deserv (86 firings) ' deserved', # necess (55 firings) ' necessity', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'need-family', 1 def prog_L07F21995(input_tokens): """1 token families, 4 surface forms (train F1 of the uncapped optimum: 0.106). Fires at 8,366 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the phrase "could have" and its variations, often in a context suggesting missed opportunities or potential actions""" # --- end external annotation --- fire = { # have (6,522 firings) ' have', ' Have', 'have', ' HAVE', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'have-family', 1 def prog_L07F21996(input_tokens): """50 token families, 56 surface forms (train F1 of the uncapped optimum: 0.716). Fires at 35,462 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of academic institutions, particularly Cornell University""" # --- end external annotation --- fire = { # acc (300 firings) ' ACC', 'ACC', # armstrong (294 firings) ' Armstrong', # hann (283 firings) ' Hannity', ' Hann', # ahn (282 firings) 'ahn', # gandhi (257 firings) ' Gandhi', # activ (255 firings) 'Activ', # cont (235 firings) ' Cont', # lauren (203 firings) ' Lauren', # allah (200 firings) 'allah', # nigel (200 firings) ' Nigel', # fairfax (200 firings) ' Fairfax', # cornell (199 firings) ' Cornell', # rebecca (199 firings) ' Rebecca', # bd (194 firings) 'BD', ' BD', 'bd', # gros (180 firings) ' Gross', # canon (179 firings) ' Canon', # clemson (174 firings) ' Clemson', # hay (174 firings) ' Hayes', # thomson (171 firings) ' Thomson', # durant (168 firings) ' Durant', # eur (162 firings) ' EUR', ' Eur', # goodman (161 firings) ' Goodman', # donovan (161 firings) ' Donovan', # allan (159 firings) ' Allan', # bank (158 firings) ' Banks', # ington (153 firings) 'INGTON', # ghana (151 firings) ' Ghana', # lennon (150 firings) ' Lennon', # goodell (148 firings) ' Goodell', # elliott (148 firings) ' Elliott', # neg (147 firings) ' Neg', # fargo (147 firings) ' Fargo', # overweight (145 firings) ' overweight', # swan (139 firings) ' Swan', # garn (138 firings) ' Garner', # cloth (137 firings) ' cloth', # randall (137 firings) ' Randall', # wagn (134 firings) ' Wagner', # allison (133 firings) ' Allison', # contr (129 firings) ' contr', ' CONTR', # hn (128 firings) 'hn', # gregg (126 firings) ' Gregg', # cameroon (124 firings) ' Cameroon', # tt (121 firings) ' TT', # greenpeace (118 firings) ' Greenpeace', # anya (116 firings) 'anya', # gallagh (114 firings) ' Gallagher', # holden (112 firings) ' Holden', # dunn (112 firings) ' Dunn', # noel (111 firings) ' Noel', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'acc-family', 1 def prog_L07F21997(input_tokens): """19 token families, 31 surface forms (train F1 of the uncapped optimum: 0.139). Fires at 115,834 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating movement or progression through space or time""" # --- end external annotation --- fire = { # on (9,355 firings) ' on', ' ON', # into (3,552 firings) ' into', ' Into', ' INTO', # over (2,899 firings) ' over', # up (2,899 firings) ' up', ' UP', # through (2,893 firings) ' through', # around (2,249 firings) ' around', # off (1,967 firings) ' off', ' Off', ' OFF', # back (1,628 firings) ' back', ' BACK', # down (1,436 firings) ' down', ' DOWN', # acros (933 firings) ' across', # away (899 firings) ' away', ' Away', # along (748 firings) ' along', # ahead (732 firings) ' ahead', ' Ahead', # toward (621 firings) ' toward', ' towards', ' Towards', # togeth (543 firings) ' together', # forward (535 firings) ' forward', # behind (435 firings) ' behind', # onto (345 firings) ' onto', # clos (291 firings) ' closer', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'on-family', 1 def prog_L07F21998(input_tokens): """48 token families, 59 surface forms (train F1 of the uncapped optimum: 0.751). Fires at 18,925 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of specific places and individuals, particularly associated with the names "Knox" and "Tate." """ # --- end external annotation --- fire = { # bar (923 firings) ' bars', ' Bars', # athen (325 firings) ' Athens', ' Athen', # gregory (281 firings) ' Gregory', # watt (271 firings) ' Watt', ' Watts', # ridge (250 firings) ' Ridge', # punk (241 firings) ' punk', ' Punk', # barrett (216 firings) ' Barrett', # mad (209 firings) ' madness', ' Madness', ' MAD', # memphi (203 firings) ' Memphis', # tok (191 firings) 'Tok', ' Tok', # itsu (190 firings) 'itsu', # knox (180 firings) ' Knox', # bent (167 firings) ' Bent', # kaz (165 firings) ' Kaz', # ransomware (164 firings) ' ransomware', # ortiz (155 firings) ' Ortiz', # hardy (150 firings) ' Hardy', # yen (147 firings) ' yen', # hick (146 firings) ' Hicks', # williamson (145 firings) ' Williamson', # istrat (135 firings) 'istrates', # tate (134 firings) ' Tate', # kingston (134 firings) ' Kingston', # norton (134 firings) ' Norton', # berry (132 firings) ' Berry', # ollah (132 firings) 'ollah', # blu (122 firings) ' blues', # moon (122 firings) ' moons', ' Moons', # kerr (120 firings) ' Kerr', # bat (117 firings) ' Bates', # pike (116 firings) ' Pike', # raven (114 firings) ' Raven', 'Raven', # myster (113 firings) ' mysteries', # thatch (112 firings) ' Thatcher', # ayette (110 firings) 'ayette', # kn (107 firings) 'Kn', # ton (106 firings) ' Ton', 'Ton', # maid (102 firings) ' Maid', # byrne (102 firings) ' Byrne', # gin (92 firings) ' Gin', # loll (92 firings) ' Loll', # ß (91 firings) 'ß', # town (91 firings) ' Towns', # ney (86 firings) ' Ney', # grim (86 firings) ' Grimes', # ware (85 firings) ' Ware', ' ware', # tos (82 firings) ' Tos', # meredith (78 firings) ' Meredith', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'bar-family', 1 def prog_L07F21999(input_tokens): """44 token families, 87 surface forms (train F1 of the uncapped optimum: 0.415). Fires at 91,443 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to changes in status or position within an organization or context""" # --- end external annotation --- fire = { # release (1,354 firings) ' release', 'release', # move (1,291 firings) ' move', # transf (1,056 firings) ' transfer', ' transfers', ' Transfer', 'Transfer', 'transfer', # return (992 firings) ' return', ' Return', ' Returns', 'Return', 'Returns', 'return', ' Returning', # launch (912 firings) ' launch', 'launch', 'Launch', # sign (848 firings) ' signing', ' signings', 'sign', # ation (799 firings) 'ation', 'ATION', # trade (787 firings) ' trade', 'trade', # iza (650 firings) 'ization', # sale (594 firings) ' sale', # nomina (585 firings) ' nomination', # ment (584 firings) 'ment', # resigna (572 firings) ' resignation', # arr (565 firings) ' arrest', ' Arrest', # award (557 firings) ' award', ' awards', ' awarding', # departure (529 firings) ' departure', # appoint (506 firings) ' appointment', ' appointments', # acquisi (467 firings) ' acquisition', ' Acquisition', # remov (455 firings) ' removal', ' Removal', ' Removed', 'Removed', # exit (450 firings) ' exit', ' exits', ' Exit', 'exit', # exten (449 firings) ' extension', # expan (446 firings) ' expansion', ' Expansion', # selec (436 firings) ' selection', ' Selection', 'selection', # retire (372 firings) ' retirement', ' Retirement', # closure (362 firings) ' closure', 'closure', # transi (362 firings) ' transition', ' Transition', # adop (344 firings) ' adoption', # registra (341 firings) ' registration', ' Registration', 'Registration', # deploy (340 firings) ' deployment', ' deployments', ' Deploy', # divorce (335 firings) ' divorce', # endorse (334 firings) ' endorsement', ' endorsements', # isa (321 firings) 'isation', # repe (319 firings) ' repeal', # suspen (318 firings) ' suspension', # confirma (317 firings) ' confirmation', # promo (302 firings) ' promotion', # fir (288 firings) ' firing', # membership (287 firings) ' membership', ' Membership', # upgrade (276 firings) ' upgrade', 'Upgrade', # recall (275 firings) ' recall', ' Recall', # withdraw (245 firings) ' withdrawal', # diagnosi (239 firings) ' diagnosis', # conver (236 firings) ' conversion', ' Conversion', # merg (230 firings) ' merger', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'release-family', 1