"""GPT-2 SAE last-token programs, layer 7 -- features 08000 to 08099 (100 programs). One function per SAE feature. Grouped 100 to a file so the set stays browsable; the programs themselves are unchanged. """ def prog_L07F08000(input_tokens): """46 token families, 62 surface forms (train F1 of the uncapped optimum: 0.571). Fires at 18,885 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to bravery and courage""" # --- end external annotation --- fire = { # bold (547 firings) ' bold', ' boldly', ' Bold', 'bold', # brave (489 firings) ' brave', ' Brave', 'Brave', # courage (366 firings) ' courage', ' courageous', ' Courage', # hero (362 firings) ' heroes', ' heroic', ' Heroic', # fierce (241 firings) ' fierce', ' fiercely', # lone (213 firings) ' lonely', ' Lonely', # warrior (208 firings) ' warrior', ' warriors', # pione (205 firings) ' pioneer', ' pioneers', # glori (202 firings) ' glorious', # pioneer (176 firings) ' pioneering', # patriot (157 firings) ' patriotic', ' patriot', # noble (141 firings) ' noble', # dar (136 firings) ' daring', # defiant (132 firings) ' defiant', # foolish (131 firings) ' foolish', # feinstein (130 firings) ' Feinstein', # brazen (127 firings) ' brazen', # inspir (124 firings) ' inspiring', # voluntari (122 firings) ' voluntarily', # exploit (114 firings) ' exploits', # harrow (108 firings) ' harrowing', # refresh (106 firings) ' refreshing', # claire (101 firings) ' Claire', # will (100 firings) ' willingly', ' willful', # stubborn (99 firings) ' stubborn', # adventur (95 firings) ' adventurous', ' adventurer', # acity (90 firings) 'acity', # martyr (86 firings) ' martyr', # gut (85 firings) ' guts', # bless (80 firings) ' blessed', # comrad (77 firings) ' comrades', # ierce (70 firings) 'ierce', # bravery (69 firings) ' bravery', # roud (69 firings) 'roud', # underdog (68 firings) ' underdog', # defi (68 firings) ' defiance', # fearles (66 firings) ' fearless', # resilient (66 firings) ' resilient', # backbone (66 firings) ' backbone', # painstak (65 firings) ' painstaking', # spirit (63 firings) ' spirited', # admir (59 firings) ' admirable', # disobedi (57 firings) ' disobedience', # ventur (56 firings) ' ventured', # futile (55 firings) ' futile', # traitor (53 firings) ' traitor', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'bold-family', 1 def prog_L07F08001(input_tokens): """1 token families, 2 surface forms (train F1 of the uncapped optimum: 0.072). Fires at 31,369 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating movement or proximity towards something""" # --- end external annotation --- fire = { # to (26,040 firings) ' to', ' TO', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'to-family', 1 def prog_L07F08002(input_tokens): """2 token families, 4 surface forms (train F1 of the uncapped optimum: 0.612). Fires at 32,953 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "when" and its context""" # --- end external annotation --- fire = { # when (23,953 firings) ' when', ' When', ' WHEN', # whenev (181 firings) ' whenever', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'when-family', 1 def prog_L07F08003(input_tokens): """4 token families, 9 surface forms (train F1 of the uncapped optimum: 0.662). Fires at 10,912 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the word "soon" indicating future events or actions""" # --- end external annotation --- fire = { # soon (5,067 firings) ' soon', ' Soon', 'Soon', 'soon', # short (742 firings) ' shortly', 'Shortly', ' Shortly', # incre (50 firings) 'Incre', # asap (46 firings) ' ASAP', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'soon-family', 1 def prog_L07F08004(input_tokens): """47 token families, 53 surface forms (train F1 of the uncapped optimum: 0.562). Fires at 11,783 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the "Oval Office" """ # --- end external annotation --- fire = { # op (429 firings) ' op', # oval (334 firings) ' Oval', ' oval', # lawn (291 firings) ' lawn', ' Lawn', # cabinet (228 firings) ' Cabinet', # flip (209 firings) ' Flip', # box (195 firings) ' Box', # reces (193 firings) ' recess', # lock (181 firings) ' locker', # po (178 firings) ' PO', 'PO', # throne (176 firings) ' throne', ' Throne', # elector (172 firings) ' Electoral', # inbox (168 firings) ' inbox', # down (163 firings) ' Downing', # toilet (145 firings) ' toilet', # keystone (142 firings) ' Keystone', # lap (123 firings) ' lap', # ivy (110 firings) ' Ivy', # pave (106 firings) ' pave', # roosevelt (101 firings) ' Roosevelt', # lago (100 firings) 'Lago', # flake (98 firings) ' Flake', # pri (90 firings) ' Pri', # neh (86 firings) ' Neh', # dispen (86 firings) ' dispens', # diary (82 firings) ' diary', ' Diary', # hyde (78 firings) ' Hyde', # pent (77 firings) ' pent', # entitle (69 firings) ' entitle', # sofa (64 firings) ' sofa', # loft (62 firings) ' Loft', # ely (61 firings) ' Ely', # od (61 firings) ' OD', # found (58 firings) ' Founding', # overse (58 firings) ' Overse', ' overse', # matth (57 firings) ' Matth', # mailbox (56 firings) ' mailbox', # quad (54 firings) ' Quad', # corridor (52 firings) ' corridors', # enrich (52 firings) ' enrich', # medd (51 firings) ' medd', # minst (50 firings) 'minster', # watergate (48 firings) ' Watergate', # ob (45 firings) ' OB', # fountain (38 firings) ' Fountain', # malt (37 firings) ' Malt', # abby (34 firings) ' Abby', # prophe (31 firings) ' Prophe', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'op-family', 1 def prog_L07F08005(input_tokens): """9 token families, 19 surface forms (train F1 of the uncapped optimum: 0.077). Fires at 45,335 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to competitive match formats or rankings""" # --- end external annotation --- fire = { # than (1,436 firings) ' than', 'than', ' Than', # known (738 firings) ' known', 'known', # sell (373 firings) 'selling', 'seller', 'sell', ' seller', ' sellers', ' Seller', # thing (360 firings) ' thing', # poss (268 firings) ' possible', # friend (217 firings) ' friend', ' Friend', # of (168 firings) 'of', # practic (140 firings) ' practices', ' Practices', # buy (125 firings) ' Buy', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'than-family', 1 def prog_L07F08006(input_tokens): """26 token families, 39 surface forms (train F1 of the uncapped optimum: 0.537). Fires at 18,276 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to formal requests, particularly those related to information or documents""" # --- end external annotation --- fire = { # requ (2,170 firings) ' request', ' Requ', ' Request', 'Request', 'request', 'requ', 'Requ', ' requ', # request (1,960 firings) ' requested', ' requests', ' requesting', # ask (1,734 firings) ' asked', ' Ask', # demand (558 firings) ' demands', # rep (281 firings) 'Rep', # sugges (240 firings) ' suggestion', # congressman (219 firings) ' Congressman', ' congressman', # unre (207 firings) ' unre', # invita (186 firings) ' invitation', # inquir (168 firings) ' inquiries', ' inquired', # suggestion (138 firings) ' suggestions', # sol (129 firings) ' solic', # subpoen (113 firings) ' subpoen', # forcib (110 firings) ' forcibly', # recommenda (107 firings) ' recommendation', # plea (106 firings) ' pleas', # query (99 firings) ' query', # subpoena (84 firings) ' subpoena', # beh (76 firings) ' behest', # solicit (75 firings) ' solicit', # foia (72 firings) ' FOIA', # beg (69 firings) ' Beg', 'Beg', # polite (66 firings) ' politely', # quer (66 firings) ' queries', # inappropriate (62 firings) ' inappropriately', # petition (55 firings) ' petitions', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'requ-family', 1 def prog_L07F08007(input_tokens): """36 token families, 46 surface forms (train F1 of the uncapped optimum: 0.706). Fires at 11,641 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of restaurants""" # --- end external annotation --- fire = { # restaurant (2,836 firings) ' restaurant', ' restaurants', ' Restaurant', # chef (545 firings) ' chef', ' chefs', ' Chef', # din (527 firings) ' dining', ' din', ' diner', # eat (200 firings) ' eater', ' Eater', # food (157 firings) 'food', # vegetarian (147 firings) ' vegetarian', # tavern (137 firings) ' Tavern', ' tavern', # grill (135 firings) ' Grill', # cuisine (128 firings) ' cuisine', # cul (123 firings) ' Cul', # patron (116 firings) ' patrons', # naj (115 firings) ' Naj', # culinary (111 firings) ' culinary', # establish (110 firings) ' establishments', # pub (105 firings) ' Pub', # restaur (102 firings) ' restaur', ' Restaur', # seafood (101 firings) ' seafood', # gast (101 firings) ' Gast', ' gast', # ushi (95 firings) 'ushi', # essen (92 firings) 'essen', # unct (83 firings) 'unct', # chinatown (82 firings) ' Chinatown', # subway (74 firings) ' Subway', # taco (65 firings) ' taco', # cheng (65 firings) ' Cheng', # waitres (64 firings) ' waitress', # otle (63 firings) 'otle', # yelp (58 firings) ' Yelp', # uten (55 firings) 'uten', # hospital (52 firings) ' hospitality', # rest (52 firings) 'Rest', # wait (40 firings) ' waiter', # ourmet (40 firings) 'ourmet', # sushi (33 firings) ' sushi', # seaf (32 firings) ' Seaf', # ateur (30 firings) 'ateur', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'restaurant-family', 1 def prog_L07F08008(input_tokens): """12 token families, 13 surface forms (train F1 of the uncapped optimum: 0.136). Fires at 21,367 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to educational institutions, specifically focusing on the word "school." """ # --- end external annotation --- fire = { # ol (272 firings) 'ol', # ic (259 firings) 'IC', # ab (199 firings) 'ab', # um (197 firings) 'um', # app (102 firings) 'app', # ust (93 firings) 'uster', # ulz (91 firings) 'ulz', # ill (91 firings) 'iller', 'illing', # ef (84 firings) 'ef', # ä (73 firings) 'ä', # name (69 firings) 'Name', # ng (66 firings) 'ng', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ol-family', 1 def prog_L07F08009(input_tokens): """20 token families, 51 surface forms (train F1 of the uncapped optimum: 0.118). Fires at 1,207,283 of 36,786,566 positions. Fires at 3.28% 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 steps in a process or sequential actions""" # --- end external annotation --- fire = { # , (67,139 firings) ',', ' ,', # and (39,135 firings) ' and', ' And', 'and', 'And', ' AND', 'ander', 'ands', 'anded', # to (34,716 firings) ' to', # that (17,816 firings) ' that', ' That', ' THAT', ' thats', # ( (8,612 firings) ' (', # the (8,557 firings) ' The', # it (7,818 firings) ' it', # : (7,613 firings) ':', ' :', # ) (6,319 firings) ')', ' )', # will (5,586 firings) ' will', ' WILL', ' willingly', # — (5,323 firings) ' —', '—', # one (4,902 firings) ' one', ' One', ' ones', 'one', ' ONE', ' Ones', 'ONES', # he (4,865 firings) ' he', # can (4,431 firings) ' can', 'Can', ' cans', # or (4,250 firings) ' or', ' Or', ' OR', # but (3,848 firings) ' but', # said (3,848 firings) ' said', # when (3,733 firings) ' when', ' When', 'when', # they (3,514 firings) ' they', ' THEY', # would (3,019 firings) ' would', 'Would', ' Would', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L07F08010(input_tokens): """7 token families, 11 surface forms (train F1 of the uncapped optimum: 0.121). Fires at 179,714 of 36,786,566 positions. Fires at 0.49% 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 America's social issues and challenges""" # --- end external annotation --- fire = { # s (24,784 firings) 's', "'s", # its (5,060 firings) ' its', ' Its', ' ITS', # our (3,623 firings) ' our', ' Our', # re (1,261 firings) 're', # should (1,021 firings) ' should', # america (634 firings) ' America', # economy (497 firings) ' economy', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 's-family', 1 def prog_L07F08011(input_tokens): """17 token families, 62 surface forms (train F1 of the uncapped optimum: 0.148). Fires at 330,947 of 36,786,566 positions. Fires at 0.90% 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 sexual misconduct and exploitation involving minors""" # --- end external annotation --- fire = { # of (13,441 firings) ' of', ' OF', 'OF', # with (5,848 firings) ' with', ' WITH', # her (4,473 firings) ' her', ' Her', 'hered', ' HER', ' hers', # old (2,914 firings) 'old', ' old', ' older', ' oldest', 'Old', ' Older', 'older', # their (2,595 firings) ' their', 'their', ' THEIR', # young (2,074 firings) ' young', ' younger', ' youngest', ' Young', 'Young', 'young', # two (2,056 firings) ' two', 'two', ' TWO', # them (1,927 firings) ' them', ' Them', 'them', # my (1,830 firings) ' my', 'my', ' MY', # him (1,811 firings) ' him', ' Him', 'him', # your (1,692 firings) ' your', ' Your', 'your', ' YOUR', # girl (1,352 firings) ' girl', ' girls', ' Girl', 'girl', ' Girls', 'girls', 'Girls', 'Girl', # me (1,249 firings) ' me', ' Me', # she (1,029 firings) ' she', 'she', # little (1,020 firings) ' little', ' Little', 'Little', 'little', # around (871 firings) ' around', 'around', # year (870 firings) 'year', 'Year', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'of-family', 1 def prog_L07F08012(input_tokens): """7 token families, 13 surface forms (train F1 of the uncapped optimum: 0.048). Fires at 46,472 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating comparison or additional information""" # --- end external annotation --- fire = { # : (3,142 firings) ':', # because (669 firings) ' because', # except (195 firings) 'Except', ' except', ' Except', 'except', # thing (190 firings) ' thing', # fact (186 firings) ' fact', # plu (148 firings) ' Plus', 'Plus', ' PLUS', # worse (135 firings) ' worse', ' Worse', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ':-family', 1 def prog_L07F08013(input_tokens): """40 token families, 50 surface forms (train F1 of the uncapped optimum: 0.724). Fires at 24,029 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: words that denote capability or possibility""" # --- end external annotation --- fire = { # able (5,301 firings) 'able', 'ABLE', # abil (1,069 firings) 'ability', 'abil', 'abilities', # ible (933 firings) 'ible', 'IBLE', # abl (890 firings) 'ables', 'abled', 'abl', # ably (551 firings) 'ably', # play (369 firings) ' playable', 'playing', # ibl (231 firings) 'ibles', 'ibl', # compat (223 firings) ' compatible', 'compatible', # borne (214 firings) 'borne', # worthy (212 firings) 'worthy', # itable (208 firings) 'itable', # iable (200 firings) 'iable', # wear (187 firings) ' wearable', # ibil (163 firings) 'ibility', # resistant (133 firings) 'resistant', # orable (124 firings) 'orable', # usable (122 firings) ' usable', 'usable', # download (118 firings) ' downloadable', # yle (118 firings) 'yle', # het (118 firings) 'hetic', # urable (106 firings) 'urable', # atable (104 firings) 'atable', # onom (101 firings) 'onomous', # ifi (98 firings) 'ifiable', # dur (94 firings) ' durable', # punish (91 firings) ' punishable', # edible (87 firings) ' edible', # dispos (85 firings) ' disposable', # enabl (76 firings) 'enabled', # reus (75 firings) ' reusable', # lat (74 firings) 'latable', # scal (71 firings) ' scalable', # customiz (70 firings) ' customizable', # ach (70 firings) 'achable', # ovable (68 firings) 'ovable', # uable (67 firings) 'uable', # adjust (64 firings) ' adjustable', # finite (64 firings) ' finite', # convert (62 firings) ' convertible', # uble (62 firings) 'uble', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'able-family', 1 def prog_L07F08014(input_tokens): """1 token families, 2 surface forms (train F1 of the uncapped optimum: 0.322). Fires at 157,975 of 36,786,566 positions. Fires at 0.43% of positions, and token rules do not serve features this dense: median test F1 0.086 across the 37,173 features above 0.39% of positions, against 0.763 for the 76,283 below 0.016%. Read this fire set as the best available approximation, not as what the feature does.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "the." """ # --- end external annotation --- fire = { # the (43,379 firings) ' The', 'the', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L07F08015(input_tokens): """1 token families, 2 surface forms (train F1 of the uncapped optimum: 0.032). Fires at 13,399 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases that begin with "any of" followed by a subset of items or concepts""" # --- end external annotation --- fire = { # of (11,629 firings) ' of', ' OF', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'of-family', 1 def prog_L07F08016(input_tokens): """48 token families, 48 surface forms (train F1 of the uncapped optimum: 0.503). Fires at 192,049 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: instances of personal pronouns and discussions about individual perspectives or actions""" # --- end external annotation --- fire = { # the (19,470 firings) 'The', # it (11,422 firings) 'It', # in (9,810 firings) 'In', # i (7,572 firings) 'I', # thi (6,669 firings) 'This', # he (5,944 firings) 'He', # we (4,754 firings) 'We', # that (3,632 firings) 'That', # as (3,434 firings) 'As', # there (3,213 firings) 'There', # accord (2,776 firings) 'According', # they (2,733 firings) 'They', # so (2,288 firings) 'So', # on (2,272 firings) 'On', # you (2,119 firings) 'You', # while (2,080 firings) 'While', # here (2,021 firings) 'Here', # one (1,994 firings) 'One', # for (1,965 firings) 'For', # now (1,957 firings) 'Now', # she (1,956 firings) 'She', # when (1,898 firings) 'When', # what (1,878 firings) 'What', # aft (1,839 firings) 'After', # at (1,817 firings) 'At', # and (1,636 firings) 'And', # with (1,517 firings) 'With', # howev (1,396 firings) 'However', # his (1,283 firings) 'His', # mr (1,274 firings) 'Mr', # these (1,158 firings) 'These', # some (1,064 firings) 'Some', # my (941 firings) 'My', # dur (884 firings) 'During', # all (839 firings) 'All', # from (790 firings) 'From', # speak (784 firings) 'Speaking', # not (746 firings) 'Not', # since (717 firings) 'Since', # well (610 firings) 'Well', # many (605 firings) 'Many', # let (605 firings) 'Let', # both (586 firings) 'Both', # her (555 firings) 'Her', # then (547 firings) 'Then', # even (547 firings) 'Even', # those (536 firings) 'Those', # instead (508 firings) 'Instead', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L07F08017(input_tokens): """9 token families, 11 surface forms (train F1 of the uncapped optimum: 0.066). Fires at 52,184 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: timestamps and dates in the text""" # --- end external annotation --- fire = { # : (4,788 firings) ':', ' :', # – (1,177 firings) ' –', # ): (287 firings) '):', # 18 (257 firings) ' 18', # | (243 firings) ' |', # 17 (203 firings) ' 17', # 23 (192 firings) ' 23', # mark (189 firings) ' marks', ' marked', # 24 (188 firings) ' 24', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ':-family', 1 def prog_L07F08018(input_tokens): """13 token families, 23 surface forms (train F1 of the uncapped optimum: 0.155). Fires at 199,491 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: terms related to legal classifications and offenses""" # --- end external annotation --- fire = { # as (17,046 firings) ' as', # like (2,785 firings) ' like', ' LIKE', # call (1,685 firings) ' called', 'called', ' Called', # real (1,524 firings) ' really', ' real', ' Really', ' REALLY', ' REAL', # ' (1,303 firings) " '", # part (1,289 firings) ' part', # become (1,259 firings) ' become', ' Become', # consider (1,076 firings) ' considered', # known (903 firings) ' known', # true (846 firings) ' true', 'true', # official (697 firings) ' officially', # actual (540 firings) ' actually', 'actually', # potent (506 firings) ' potential', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'as-family', 1 def prog_L07F08019(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.030). Fires at 21,583 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: numerical data or dates associated with events""" # --- end external annotation --- fire = { # \n (20,948 firings) '\n', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '\\n-family', 1 def prog_L07F08020(input_tokens): """49 token families, 56 surface forms (train F1 of the uncapped optimum: 0.583). Fires at 9,260 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to dial systems and their functionalities""" # --- end external annotation --- fire = { # dial (316 firings) ' dial', ' Dial', 'dial', 'Dial', # monte (180 firings) ' Monte', # vin (160 firings) ' Vin', # dixon (148 firings) ' Dixon', # wind (137 firings) ' winding', # call (125 firings) ' caller', ' CALL', # bras (121 firings) ' brass', # vo (119 firings) ' Vo', # dialog (102 firings) ' dialog', 'Dialog', # vij (97 firings) ' Vij', # tol (97 firings) ' Tol', # dialect (93 firings) ' dialect', # rou (88 firings) ' rou', # voic (87 firings) ' voic', # hawk (82 firings) ' Hawking', # opp (81 firings) 'oppers', # tick (79 firings) ' ticking', # reet (77 firings) 'reet', # telev (77 firings) ' telev', # tek (74 firings) ' Tek', # hook (74 firings) ' hooked', # cpr (72 firings) ' CPR', # calculator (72 firings) ' calculator', ' Calculator', # hotline (70 firings) ' hotline', # countdown (68 firings) ' countdown', # pin (63 firings) ' PIN', # rai (60 firings) ' Rai', # rang (59 firings) ' rang', # cook (57 firings) ' cooker', # iven (57 firings) 'iven', # bell (53 firings) ' bells', # cho (53 firings) ' cho', # tone (52 firings) 'tone', ' Tone', # jargon (50 firings) ' jargon', # ware (49 firings) ' Ware', # dispatch (47 firings) ' dispatcher', # radio (44 firings) ' radios', # vide (43 firings) ' Vide', # ration (42 firings) ' ration', # roche (40 firings) ' Roche', # tel (40 firings) 'tel', # chak (39 firings) ' Chak', # sloan (35 firings) ' Sloan', # div (34 firings) ' Diver', # fax (32 firings) ' fax', # intraven (28 firings) ' intraven', # ger (28 firings) ' Geral', # viet (27 firings) ' Viet', # cyt (26 firings) ' cyt', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'dial-family', 1 def prog_L07F08021(input_tokens): """7 token families, 9 surface forms (train F1 of the uncapped optimum: 0.128). Fires at 371,308 of 36,786,566 positions. Fires at 1.01% 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 and phrases related to emergency situations and chaos""" # --- end external annotation --- fire = { # \n (104,481 firings) '\n', # cap (2,754 firings) ' caption', # — (2,323 firings) ' —', # ," (2,158 firings) ',"', # as (1,519 firings) 'As', ' As', # accord (1,452 firings) ' according', 'According', # ." (979 firings) '."', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '\\n-family', 1 def prog_L07F08022(input_tokens): """10 token families, 16 surface forms (train F1 of the uncapped optimum: 0.112). Fires at 202,317 of 36,786,566 positions. Fires at 0.55% 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: prepositions and their use in context""" # --- end external annotation --- fire = { # of (39,465 firings) ' of', # for (17,438 firings) ' for', # on (15,341 firings) ' on', # from (8,477 firings) ' from', ' FROM', # about (4,055 firings) ' about', ' ABOUT', # between (2,545 firings) ' between', 'between', # against (2,055 firings) ' against', ' Against', 'against', # dur (1,282 firings) ' during', 'during', # acros (772 firings) ' across', # within (628 firings) ' within', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'of-family', 1 def prog_L07F08023(input_tokens): """13 token families, 36 surface forms (train F1 of the uncapped optimum: 0.120). Fires at 203,687 of 36,786,566 positions. Fires at 0.55% 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 expressing strong sentiments or deep reflections""" # --- end external annotation --- fire = { # ' (1,636 firings) "'", # " (1,514 firings) '"', # ! (1,336 firings) '!', # world (1,141 firings) ' world', ' worlds', ' Worlds', ' WORLD', ' worldly', # life (928 firings) ' life', ' Life', ' LIFE', # thing (926 firings) ' things', ' thing', ' Things', ' Thing', 'thing', 'things', # again (871 firings) ' again', ' Again', 'again', # me (850 firings) ' me', ' Me', ' ME', # happen (708 firings) ' happen', ' happening', ' happened', ' happens', # here (618 firings) ' here', ' HERE', # email (576 firings) ' email', # easy (562 firings) ' easy', ' Easy', 'Easy', 'easy', # trust (523 firings) ' trust', ' trusted', } token = input_tokens[-1] if token not in fire: return "no match", 0 return "'-family", 1 def prog_L07F08024(input_tokens): """21 token families, 22 surface forms (train F1 of the uncapped optimum: 0.193). Fires at 53,315 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: graphic descriptions of violence or harm""" # --- end external annotation --- fire = { # death (1,027 firings) ' death', # end (974 firings) ' end', # hospit (635 firings) ' hospital', # ground (513 firings) ' ground', # level (498 firings) ' level', # scene (473 firings) ' scene', # floor (358 firings) ' floor', # bottom (340 firings) ' bottom', # street (313 firings) ' streets', # blame (311 firings) ' blame', # poll (239 firings) ' polls', # wall (231 firings) ' wall', # conclu (216 firings) ' conclusion', # truth (210 firings) ' truth', # door (197 firings) ' door', # table (185 firings) ' table', # jail (180 firings) ' jail', # ballot (171 firings) ' ballot', # moon (169 firings) ' moon', ' Moon', # extent (146 firings) ' extent', # bed (134 firings) ' bed', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'death-family', 1 def prog_L07F08025(input_tokens): """47 token families, 51 surface forms (train F1 of the uncapped optimum: 0.741). Fires at 9,344 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of the Czech Republic and its capital, Prague""" # --- end external annotation --- fire = { # czech (346 firings) ' Czech', # idaho (344 firings) ' Idaho', # ces (225 firings) ' CES', # jiang (186 firings) 'jiang', ' Jiang', # gerald (182 firings) ' Gerald', # cz (177 firings) 'cz', ' cz', # chile (168 firings) ' Chile', # tibet (164 firings) ' Tibet', # cough (161 firings) ' cough', ' coughing', # croatia (158 firings) ' Croatia', # tibetan (142 firings) ' Tibetan', # dominican (139 firings) ' Dominican', # č (138 firings) 'č', # balt (129 firings) ' Baltic', # cork (125 firings) ' Cork', # cameroon (123 firings) ' Cameroon', # hebrew (123 firings) ' Hebrew', # boyle (121 firings) ' Boyle', # jak (113 firings) ' Jak', # cbi (104 firings) ' CBI', # ague (104 firings) 'ague', # ć (103 firings) 'ć', # desc (103 firings) 'Desc', ' desc', # buch (98 firings) ' Buch', # domin (92 firings) ' Dominic', # š (88 firings) 'š', # dsl (87 firings) ' DSL', # prague (85 firings) ' Prague', # slovakia (83 firings) ' Slovakia', # croatian (82 firings) ' Croatian', # slav (81 firings) ' Slav', # dict (81 firings) ' dict', # slov (79 firings) ' Slov', # oqu (79 firings) 'oqu', # cambodia (78 firings) ' Cambodia', # budap (75 firings) ' Budapest', # boh (71 firings) ' Boh', # latvia (71 firings) ' Latvia', # disinteg (70 firings) ' disinteg', # siem (70 firings) ' Siem', # thib (67 firings) ' Thib', # decl (65 firings) 'decl', # cst (63 firings) ' CST', # bohem (59 firings) ' Bohem', # pavel (55 firings) ' Pavel', # sloven (55 firings) ' Sloven', # drib (53 firings) ' drib', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'czech-family', 1 def prog_L07F08026(input_tokens): """9 token families, 24 surface forms (train F1 of the uncapped optimum: 0.127). Fires at 523,150 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: phrases related to international relations and conflict""" # --- end external annotation --- fire = { # , (24,299 firings) ',', ' ,', # year (4,746 firings) ' years', ' year', ' Year', ' YEAR', # ( (2,987 firings) ' (', # ) (2,405 firings) ')', # " (1,950 firings) '"', # time (1,948 firings) ' time', 'time', ' TIME', ' timely', # state (1,794 firings) ' state', ' State', 'state', ' statements', ' Statement', 'statement', # week (1,361 firings) ' week', ' weeks', # month (1,325 firings) ' month', ' months', 'months', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L07F08027(input_tokens): """4 token families, 7 surface forms (train F1 of the uncapped optimum: 0.058). Fires at 54,670 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: superlative statements and phrases of comparison""" # --- end external annotation --- fire = { # the (40,136 firings) ' the', 'the', ' THE', # most (1,215 firings) ' most', # arguab (346 firings) ' arguably', # perhap (220 firings) ' perhaps', 'Perhaps', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'the-family', 1 def prog_L07F08028(input_tokens): """45 token families, 54 surface forms (train F1 of the uncapped optimum: 0.593). Fires at 12,248 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of delegates in a political context""" # --- end external annotation --- fire = { # deput (460 firings) ' deputies', # delegat (453 firings) ' delegates', ' delegated', # attende (354 firings) ' attendees', # elector (327 firings) ' Electoral', ' electors', ' elector', # delega (276 firings) ' delegation', # diplomat (258 firings) ' diplomats', ' diplomat', # councillor (211 firings) ' councillors', ' councillor', # negotiator (179 firings) ' negotiators', ' negotiator', # min (173 firings) ' miners', # mep (170 firings) ' MEP', # commission (151 firings) ' commissioners', ' Commissioners', # uti (149 firings) 'uties', # derrick (136 firings) ' Derrick', # delegate (133 firings) ' delegate', # allegi (127 firings) ' allegiance', # whip (124 firings) ' Whip', ' whip', # mla (112 firings) ' MLA', # legat (110 firings) 'legates', # creditor (103 firings) ' creditors', # anche (93 firings) 'anche', # supremacist (87 firings) ' supremacists', # rosa (83 firings) ' Rosa', # heidi (81 firings) ' Heidi', # truste (79 firings) ' trustees', # lenin (79 firings) ' Lenin', 'Lenin', # runaway (78 firings) ' runaway', # caucus (67 firings) ' caucuses', # dup (66 firings) ' DUP', # evangelical (62 firings) ' evangelicals', # kem (62 firings) ' Kem', # devo (60 firings) ' DeVos', # ratif (58 firings) ' ratified', # witness (56 firings) ' Witnesses', # troop (56 firings) ' troopers', # arde (54 firings) 'arde', # legate (53 firings) 'legate', # trustee (53 firings) ' trustee', # proportion (51 firings) ' proportional', # deleg (49 firings) ' deleg', # transistor (48 firings) ' transistor', # mitochondr (42 firings) ' mitochondrial', # connie (42 firings) ' Connie', # adherent (41 firings) ' adherents', # wit (40 firings) 'wit', # ratifica (32 firings) ' ratification', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'deput-family', 1 def prog_L07F08029(input_tokens): """3 token families, 4 surface forms (train F1 of the uncapped optimum: 0.125). Fires at 60,907 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to deaths and killings in various contexts""" # --- end external annotation --- fire = { # in (34,777 firings) ' in', # dur (1,518 firings) ' during', 'during', # kill (710 firings) ' killed', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'in-family', 1 def prog_L07F08030(input_tokens): """16 token families, 45 surface forms (train F1 of the uncapped optimum: 0.070). Fires at 502,822 of 36,786,566 positions. Fires at 1.37% 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 indicating legal terminology or concepts""" # --- end external annotation --- fire = { # , (27,858 firings) ',', ' ,', # is (7,842 firings) ' is', ' IS', # it (6,797 firings) ' it', ' It', 'ité', # ( (4,260 firings) ' (', # are (4,119 firings) ' are', ' ARE', 'ares', # you (3,715 firings) ' you', ' You', ' YOU', # i (3,687 firings) ' I', ' i', # but (2,410 firings) ' but', ' But', 'BUT', ' BUT', # we (2,134 firings) ' we', ' We', ' WE', # they (2,023 firings) ' they', ' They', ' THEY', # more (1,881 firings) ' more', ' More', # all (1,845 firings) ' all', ' All', ' ALL', 'alled', ' Allies', # just (1,699 firings) ' just', ' Just', ' JUST', # so (1,596 firings) ' so', ' So', ' SO', # there (1,574 firings) ' there', ' There', 'thereal', # what (1,278 firings) ' what', ' What', ' WHAT', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L07F08031(input_tokens): """5 token families, 12 surface forms (train F1 of the uncapped optimum: 0.826). Fires at 7,509 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to various fields or areas of study""" # --- end external annotation --- fire = { # field (5,432 firings) ' field', ' fields', ' Field', ' Fields', ' fielded', 'fields', ' fielding', 'Field', # battlefield (169 firings) ' battlefield', # constituency (130 firings) ' constituency', # countryside (121 firings) ' countryside', # irie (34 firings) 'irie', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'field-family', 1 def prog_L07F08032(input_tokens): """14 token families, 29 surface forms (train F1 of the uncapped optimum: 0.781). Fires at 18,823 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "move" and its variations""" # --- end external annotation --- fire = { # mov (6,355 firings) ' moving', ' moved', ' moves', 'moving', ' Moving', 'Moving', ' Moves', ' mov', ' MOV', # move (5,697 firings) ' move', ' Move', 'Move', 'move', # shift (539 firings) ' shifted', ' shifting', # migrat (122 firings) ' migrating', ' migrated', # relocate (113 firings) ' relocate', # relocat (99 firings) ' relocated', # reloca (89 firings) ' relocation', # creep (84 firings) ' creeping', ' creeps', # migrate (78 firings) ' migrate', # shuff (75 firings) ' shuff', # transition (63 firings) ' transitioning', ' transitioned', # ocat (59 firings) 'ocating', # adjourn (58 firings) ' adjourn', # bounc (49 firings) ' bounced', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'mov-family', 1 def prog_L07F08033(input_tokens): """22 token families, 26 surface forms (train F1 of the uncapped optimum: 0.173). Fires at 167,059 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: words associated with organized activities, publications, and events""" # --- end external annotation --- fire = { # ser (1,614 firings) ' series', # team (1,562 firings) ' team', # police (1,220 firings) ' police', # report (1,066 firings) ' reports', ' reporter', # program (925 firings) ' program', # project (921 firings) ' project', # website (855 firings) ' website', # event (805 firings) ' event', # magazine (775 firings) ' magazine', # app (767 firings) ' app', # service (717 firings) ' service', # party (646 firings) ' party', # commun (613 firings) ' community', # award (611 firings) ' award', ' awards', ' Award', # area (604 firings) ' area', # stor (603 firings) ' stories', ' stores', # page (583 firings) ' page', # star (574 firings) ' star', # store (525 firings) ' store', # poll (516 firings) ' poll', # break (458 firings) ' breaking', # confer (445 firings) ' conference', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ser-family', 1 def prog_L07F08034(input_tokens): """31 token families, 51 surface forms (train F1 of the uncapped optimum: 0.682). Fires at 86,449 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to centralized control or authority""" # --- end external annotation --- fire = { # unveil (1,870 firings) ' unveiled', ' unveil', ' unveiling', # icon (898 firings) ' iconic', # spokesperson (817 firings) ' spokesperson', # new (745 firings) ' newest', # outlin (693 firings) ' outlined', ' outlining', ' outlines', # focus (633 firings) ' focused', 'focused', # thrill (555 firings) ' thrilled', ' thriller', ' thrilling', # flagship (554 firings) ' flagship', # deploy (424 firings) ' deployed', ' deploying', ' deploy', # tout (407 firings) ' touted', ' touting', # showcase (386 firings) ' showcase', # acclaim (383 firings) ' acclaimed', ' acclaim', # debut (382 firings) ' debuted', # technolog (379 firings) ' technologies', # advisor (373 firings) ' advisor', ' advisors', ' Advisor', # center (362 firings) ' centered', 'centered', # unleash (351 firings) ' unleashed', ' unleash', ' Unleashed', # marketplace (337 firings) ' marketplace', ' Marketplace', # cryptocurrency (321 firings) ' cryptocurrency', # driven (293 firings) 'driven', # arguab (288 firings) ' arguably', # superstar (287 firings) ' superstar', # comprehens (286 firings) ' comprehensive', # task (276 firings) ' tasked', # overview (269 firings) ' overview', ' Overview', # unif (245 firings) ' unified', ' Unified', # cybersecur (233 firings) ' cybersecurity', # foremost (230 firings) ' foremost', # overwhelm (229 firings) ' overwhelmed', ' overwhelm', # forefront (219 firings) ' forefront', # govern (217 firings) ' governance', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'unveil-family', 1 def prog_L07F08035(input_tokens): """22 token families, 49 surface forms (train F1 of the uncapped optimum: 0.139). Fires at 72,544 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: words related to applications and their functionality""" # --- end external annotation --- fire = { # - (2,712 firings) '-', # / (658 firings) '/', # a (593 firings) 'a', 'ña', # al (516 firings) 'al', 'AL', # en (339 firings) 'en', 'EN', # app (339 firings) ' app', ' App', 'app', 'App', 'apps', ' Apps', ' APP', # ol (317 firings) 'OL', 'ol', # o (316 firings) 'o', # ear (307 firings) 'earing', 'ear', 'eared', 'ears', 'early', 'earance', # le (283 firings) 'le', 'LE', # store (263 firings) ' Store', 'store', 'Store', # il (254 firings) 'il', # l (250 firings) 'l', 'lé', # sport (236 firings) ' Sports', ' Sport', ' SPORTS', # el (232 firings) 'el', # et (232 firings) 'et', 'ET', # man (224 firings) 'man', # is (221 firings) 'is', # les (221 firings) 'les', 'less', 'LES', # os (214 firings) 'os', 'OS', # pinter (210 firings) ' Pinterest', # ion (210 firings) 'ION', 'ion', 'ional', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1 def prog_L07F08036(input_tokens): """36 token families, 38 surface forms (train F1 of the uncapped optimum: 0.612). Fires at 8,133 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to legal charges and indictments""" # --- end external annotation --- fire = { # indict (788 firings) ' indictment', ' indicted', ' indict', # impeach (216 firings) ' impeachment', # damn (172 firings) ' damning', # abdel (154 firings) ' Abdel', # verti (146 firings) 'VERTIS', # extradi (142 firings) ' extradition', # biography (137 firings) ' biography', # defendant (131 firings) ' defendants', # unse (130 firings) ' unse', # arra (129 firings) ' arra', # autopsy (128 firings) ' autopsy', # impe (125 firings) ' impe', # taj (110 firings) ' Taj', # unm (108 firings) ' unm', # antitrust (107 firings) ' antitrust', # electr (96 firings) ' electr', # brief (94 firings) ' briefed', # sach (90 firings) ' Sach', # motherboard (88 firings) ' motherboard', # extrad (79 firings) ' extrad', # conspir (79 firings) ' conspiring', # implicat (67 firings) ' implicated', # criminal (63 firings) ' criminally', # sergei (59 firings) ' Sergei', # inqu (57 firings) ' inquest', # bullish (51 firings) ' bullish', # mortem (50 firings) 'mortem', # mys (36 firings) 'mys', # incrim (35 firings) ' incrim', # architectur (34 firings) ' architectures', # ben (33 firings) ' ben', # culp (29 firings) ' culp', # rive (27 firings) ' rive', # indi (26 firings) ' indis', # boil (26 firings) ' boiler', # ach (23 firings) 'achment', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'indict-family', 1 def prog_L07F08037(input_tokens): """16 token families, 24 surface forms (train F1 of the uncapped optimum: 0.173). Fires at 165,625 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: significant nouns related to legal and procedural contexts""" # --- end external annotation --- fire = { # system (1,596 firings) ' system', ' System', # game (1,432 firings) ' game', ' GAME', # program (772 firings) ' program', # proces (700 firings) ' process', ' procession', # attack (686 firings) ' attack', 'attack', # bill (678 firings) ' bill', # event (614 firings) ' event', ' Event', # elec (583 firings) ' election', 'election', # market (565 firings) ' market', # crisi (561 firings) ' crisis', # race (537 firings) ' race', # rate (523 firings) ' rate', # tax (493 firings) ' tax', # ban (442 firings) ' ban', # award (438 firings) ' award', ' Award', # confer (434 firings) ' conference', 'conference', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'system-family', 1 def prog_L07F08038(input_tokens): """9 token families, 17 surface forms (train F1 of the uncapped optimum: 0.724). Fires at 11,078 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases that indicate expectations or anticipated outcomes""" # --- end external annotation --- fire = { # expect (5,994 firings) ' expected', ' expect', ' expecting', 'expected', ' Expect', # anticipat (966 firings) ' anticipated', 'anticipated', ' anticipating', # unexpect (759 firings) ' unexpected', ' unexpectedly', # predict (102 firings) ' predictable', # expectancy (91 firings) ' expectancy', # pect (82 firings) 'pected', 'pecting', # guess (53 firings) ' guessed', # anticipate (49 firings) ' anticipate', # nexpect (47 firings) 'nexpected', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'expect-family', 1 def prog_L07F08039(input_tokens): """48 token families, 57 surface forms (train F1 of the uncapped optimum: 0.684). Fires at 19,275 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of the name "Molly" or variations of it""" # --- end external annotation --- fire = { # bomb (566 firings) ' bomber', ' bombers', ' Bomber', # ondon (448 firings) 'ONDON', # olly (336 firings) 'olly', # zy (332 firings) 'zy', # psy (291 firings) 'psy', ' Psy', ' psy', 'Psy', # holm (259 firings) ' Holmes', # oli (235 firings) 'oli', # oly (234 firings) 'oly', # oko (223 firings) 'oko', # barrett (216 firings) ' Barrett', # volkswagen (210 firings) ' Volkswagen', # katie (203 firings) ' Katie', # otti (188 firings) 'otti', # 559 (185 firings) '559', # oping (181 firings) 'oping', # erry (168 firings) 'erry', # acey (166 firings) 'acey', # oo (160 firings) 'OO', # oxy (158 firings) ' Oxy', 'oxy', # roll (152 firings) ' Rolling', # puppy (151 firings) ' puppy', # hol (137 firings) ' Holly', ' HOL', # psycho (126 firings) ' psycho', ' Psycho', # ooky (121 firings) 'ooky', # neo (121 firings) ' Neo', # ppy (117 firings) 'ppy', # marty (114 firings) ' Marty', # ihadi (113 firings) 'ihadi', # oco (110 firings) 'oco', # bom (108 firings) ' Bom', # vw (107 firings) ' VW', 'VW', # chemotherapy (101 firings) ' chemotherapy', # oby (100 firings) 'oby', # payload (99 firings) ' payload', # ocol (98 firings) 'ocol', # workload (97 firings) ' workload', # luggage (97 firings) ' luggage', # wolfe (92 firings) ' Wolfe', # acco (89 firings) 'acco', # obsess (88 firings) ' obsessive', # mol (88 firings) ' Molly', # eddy (87 firings) 'eddy', # ortun (87 firings) 'ortun', # pillow (86 firings) ' pillow', # woody (84 firings) ' Woody', # nightmare (77 firings) ' Nightmare', # traumat (77 firings) 'traumatic', # blo (76 firings) ' blo', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'bomb-family', 1 def prog_L07F08040(input_tokens): """38 token families, 57 surface forms (train F1 of the uncapped optimum: 0.671). Fires at 11,238 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the word "confusion" and its variants""" # --- end external annotation --- fire = { # conf (1,240 firings) ' conf', ' Conf', 'conf', 'Conf', # con (782 firings) 'Con', ' CON', 'CON', # ill (572 firings) 'Ill', ' Ill', # confident (272 firings) ' confidential', # enc (243 firings) ' Enc', 'enc', 'Enc', # secur (214 firings) ' Securities', # reve (212 firings) ' Reve', 'reve', # ind (211 firings) 'Ind', # obs (199 firings) ' Obs', 'Obs', # inc (177 firings) 'Inc', 'INC', # ded (173 firings) ' ded', ' Ded', # calif (171 firings) 'Calif', # reaff (145 firings) ' reaff', # strange (145 firings) ' Strange', # diff (134 firings) 'Diff', 'diff', ' Diff', # coinc (119 firings) ' coinc', # coord (118 firings) ' Coord', 'coord', ' coord', # comm (102 firings) 'Comm', # prep (100 firings) ' Prep', 'prep', # tenn (90 firings) 'Tenn', # confid (87 firings) ' confid', # clinton (86 firings) 'clinton', # cn (82 firings) 'CN', 'cn', # commun (78 firings) 'Commun', ' COMMUN', # prof (76 firings) 'prof', # consult (73 firings) ' Consult', # priv (68 firings) ' priv', # encl (66 firings) ' encl', # spec (60 firings) ' Spec', # columb (56 firings) ' Columb', # perplex (56 firings) ' perplex', # unn (53 firings) ' unn', # conc (51 firings) ' Conc', # ident (46 firings) 'idential', # cla (45 firings) 'CLA', # confidential (40 firings) ' confidentiality', # pre (37 firings) ' PRES', # cle (36 firings) ' CLE', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'conf-family', 1 def prog_L07F08041(input_tokens): """46 token families, 65 surface forms (train F1 of the uncapped optimum: 0.657). Fires at 10,672 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to filesystem paths""" # --- end external annotation --- fire = { # path (1,890 firings) ' path', ' Path', ' paths', 'path', 'Path', 'pathic', ' PATH', 'PATH', # math (320 firings) ' Math', 'math', 'Math', # es (176 firings) ' ES', # yll (158 firings) 'yll', # gol (151 firings) ' Gol', # kathy (134 firings) ' Kathy', # url (125 firings) ' URL', ' URLs', ' url', 'Url', # tal (115 firings) ' Tales', # christine (111 firings) ' Christine', # pathway (109 firings) ' pathways', ' pathway', # parkway (101 firings) ' Parkway', # gateway (100 firings) ' Gateway', # ath (92 firings) 'ATH', # pamela (90 firings) ' Pamela', # pale (89 firings) ' Pale', # unc (81 firings) ' UNC', # olson (79 firings) ' Olson', 'olson', # crescent (78 firings) ' Crescent', # prot (76 firings) ' prot', # eson (76 firings) 'eson', # norwich (74 firings) ' Norwich', # psychopath (73 firings) ' psychopath', # nec (69 firings) ' Nec', ' nec', # nem (66 firings) ' nem', # nath (62 firings) ' Nath', # hyde (59 firings) ' Hyde', # nes (58 firings) ' Ness', # orph (55 firings) 'orph', # param (55 firings) ' Param', 'param', 'Param', # morph (55 firings) ' morph', 'morph', # kathryn (53 firings) ' Kathryn', # omorph (53 firings) 'omorph', # separ (50 firings) 'separ', # pathfind (49 firings) ' Pathfinder', # pathogen (48 firings) ' pathogens', # opath (44 firings) 'opath', # nurt (41 firings) ' nurt', # bridgewat (40 firings) ' Bridgewater', # pathology (39 firings) ' pathology', # sym (37 firings) 'Sym', 'sym', # germ (36 firings) ' germ', # conduit (34 firings) ' conduit', # cavern (30 firings) ' Cavern', # pilgrim (30 firings) ' Pilgrim', # patholog (29 firings) ' pathological', # usr (27 firings) 'usr', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'path-family', 1 def prog_L07F08042(input_tokens): """14 token families, 17 surface forms (train F1 of the uncapped optimum: 0.403). Fires at 9,248 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating consequences or results""" # --- end external annotation --- fire = { # result (2,114 firings) ' result', 'result', # aftermath (241 firings) ' aftermath', # consequ (122 firings) ' consequence', # product (118 firings) 'product', 'products', # culmina (98 firings) ' culmination', # remaind (90 firings) ' remainder', # stemm (63 firings) ' stemming', # reflec (55 firings) ' reflection', # continua (53 firings) ' continuation', # recipient (41 firings) ' recipient', # evidenc (40 firings) ' evidenced', # descendant (36 firings) ' descendants', ' descendant', # grandson (34 firings) ' grandson', # brunt (27 firings) ' brunt', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'result-family', 1 def prog_L07F08043(input_tokens): """35 token families, 47 surface forms (train F1 of the uncapped optimum: 0.683). Fires at 11,755 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms associated with essential nutrients and their importance""" # --- end external annotation --- fire = { # crit (1,117 firings) ' critical', 'critical', # essent (1,012 firings) ' essential', 'essential', ' Essential', # cruc (863 firings) ' crucial', # vit (790 firings) ' vital', ' Vital', ' vit', # fundament (635 firings) ' fundamental', # ess (380 firings) ' essence', 'Ess', ' Essence', ' ess', # ital (264 firings) 'ital', 'ITAL', # integr (224 firings) ' integral', # necess (205 firings) ' necessity', ' necessities', # staple (117 firings) ' staple', # imperat (115 firings) ' imperative', # dion (110 firings) ' Dion', # ential (87 firings) 'entially', 'entials', # cial (78 firings) 'cially', 'cial', # frontline (77 firings) ' frontline', # cornerstone (74 firings) ' cornerstone', # invalu (72 firings) ' invaluable', # instrument (65 firings) ' instrumental', # indispens (59 firings) ' indispensable', # anat (59 firings) ' Anat', # neces (57 firings) ' necess', # found (57 firings) ' foundational', # essential (55 firings) ' essentials', # important (55 firings) 'important', # paramount (54 firings) ' paramount', # extraord (51 firings) ' extraord', # revit (49 firings) ' revital', # complementary (43 firings) ' complementary', # endem (42 firings) ' endemic', # ident (41 firings) 'idential', # insepar (38 firings) ' insepar', # vital (38 firings) ' vitality', # element (38 firings) ' elemental', # symb (36 firings) ' symb', # nour (30 firings) ' nour', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'crit-family', 1 def prog_L07F08044(input_tokens): """18 token families, 25 surface forms (train F1 of the uncapped optimum: 0.591). Fires at 8,118 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "Far" in various contexts""" # --- end external annotation --- fire = { # far (4,628 firings) ' far', ' Far', 'Far', 'far', ' FAR', # alt (362 firings) ' Alt', 'Alt', # farage (228 firings) ' Farage', # cost (125 firings) ' Cost', # dest (111 firings) 'Dest', ' Dest', # fi (110 firings) ' Fi', # fal (98 firings) ' Fal', 'Fal', # farm (92 firings) ' Farmer', # for (91 firings) 'FOR', # hest (68 firings) 'hest', # dak (61 firings) ' Dak', # cay (48 firings) ' Cay', # afar (43 firings) ' afar', # kov (41 firings) ' Kov', # furthe (37 firings) ' furthe', # fou (32 firings) ' Fou', # sab (27 firings) 'Sab', # find (22 firings) ' Finder', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'far-family', 1 def prog_L07F08045(input_tokens): """18 token families, 23 surface forms (train F1 of the uncapped optimum: 0.817). Fires at 7,779 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to the name "Bill." """ # --- end external annotation --- fire = { # bill (4,718 firings) ' Bill', 'Bill', ' Bills', 'bill', 'BILL', # barb (147 firings) ' Barb', # hb (142 firings) ' HB', 'HB', # osama (101 firings) ' Osama', # norm (96 firings) ' Norm', # hil (86 firings) ' Hil', # branch (83 firings) ' Branch', # herb (82 firings) ' Herb', # basil (76 firings) ' Basil', # gus (76 firings) ' Gus', # betsy (46 firings) ' Betsy', # program (41 firings) 'Program', # comprehen (39 firings) ' comprehens', # docu (35 firings) 'Document', # bs (34 firings) ' BS', # babe (29 firings) ' Babe', # abstract (23 firings) ' Abstract', # doc (22 firings) 'Doc', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'bill-family', 1 def prog_L07F08046(input_tokens): """8 token families, 8 surface forms (train F1 of the uncapped optimum: 0.082). Fires at 20,879 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to performances or shows""" # --- end external annotation --- fire = { # off (753 firings) ' off', # togeth (560 firings) ' together', # forward (262 firings) ' forward', # aside (137 firings) ' aside', # forth (97 firings) ' forth', # foot (88 firings) ' foot', # exact (78 firings) ' exact', # ning (72 firings) 'ning', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'off-family', 1 def prog_L07F08047(input_tokens): """19 token families, 31 surface forms (train F1 of the uncapped optimum: 0.569). Fires at 8,418 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to advantages or gains""" # --- end external annotation --- fire = { # benefit (2,600 firings) ' benefit', ' benefits', ' benefited', ' benefiting', ' Benefit', ' Benefits', 'benefit', # benefic (207 firings) ' beneficial', # hurt (163 firings) ' hurting', # harm (163 firings) ' harmed', ' harming', ' harms', # benef (153 firings) ' benef', 'Benef', ' Benef', 'benef', # quote (128 firings) 'Quote', # enrich (73 firings) ' enrich', ' enriched', # beneficiar (68 firings) ' beneficiaries', # diff (59 firings) ' differs', # boon (51 firings) ' boon', # disadvantag (47 firings) ' disadvantaged', # reap (43 firings) ' reap', # beneficiary (38 firings) ' beneficiary', # aid (38 firings) ' aided', # detri (36 firings) ' detriment', # victim (32 firings) ' victimized', # prosp (29 firings) ' prosper', # adverse (28 firings) ' adversely', # needy (24 firings) ' needy', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'benefit-family', 1 def prog_L07F08048(input_tokens): """23 token families, 40 surface forms (train F1 of the uncapped optimum: 0.411). Fires at 28,084 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to specific days of the week, particularly weekends and Sundays""" # --- end external annotation --- fire = { # day (3,183 firings) ' days', 'days', ' Days', 'DAY', 'Days', # hour (1,465 firings) ' hours', 'Hours', ' Hours', 'hours', # week (1,322 firings) ' weeks', ' Weeks', # season (969 firings) ' seasons', ' Seasons', # night (614 firings) ' nights', ' Nights', ' nightly', # morn (565 firings) ' mornings', # holiday (465 firings) ' holidays', # period (314 firings) ' periods', # meal (226 firings) ' meals', # weekend (217 firings) ' weekends', # summ (152 firings) ' Summers', ' summers', # semest (145 firings) ' semester', # sunday (111 firings) ' Sundays', # daylight (110 firings) ' daylight', ' Daylight', # headach (103 firings) ' headaches', # fri (101 firings) ' Fri', ' fri', 'Fri', # ramadan (98 firings) ' Ramadan', # shift (94 firings) ' shifts', # daytime (88 firings) ' daytime', # schedul (87 firings) ' schedules', # show (85 firings) ' showers', # tue (82 firings) ' Tues', ' Tue', 'Tue', # mom (74 firings) ' moms', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'day-family', 1 def prog_L07F08049(input_tokens): """22 token families, 31 surface forms (train F1 of the uncapped optimum: 0.209). Fires at 261,129 of 36,786,566 positions. Fires at 0.71% 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: events or situations that have unexpected twists or humorous outcomes""" # --- end external annotation --- fire = { # new (9,067 firings) ' new', ' news', ' newest', ' newly', # one (7,244 firings) ' one', # anoth (3,344 firings) ' another', # someth (3,315 firings) ' something', # ques (1,597 firings) ' question', # different (1,490 firings) ' different', ' differently', # thing (1,366 firings) ' thing', # announce (1,240 firings) ' announce', ' announcement', ' announcements', # simple (1,238 firings) ' simple', # little (1,220 firings) ' little', # problem (1,076 firings) ' problem', # change (1,041 firings) ' change', # chang (1,005 firings) ' changes', ' changed', # interest (964 firings) ' interesting', ' interestingly', # again (931 firings) ' again', # project (897 firings) ' project', # happen (818 firings) ' happened', ' happening', # spec (805 firings) ' special', # important (726 firings) ' important', # reason (711 firings) ' reason', # step (684 firings) ' step', # message (681 firings) ' message', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'new-family', 1 def prog_L07F08050(input_tokens): """2 token families, 2 surface forms (train F1 of the uncapped optimum: 0.308). Fires at 258,591 of 36,786,566 positions. Fires at 0.70% 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 punctuation marks, particularly commas, within a text""" # --- end external annotation --- fire = { # , (239,627 firings) ',', # ), (2,323 firings) '),', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L07F08051(input_tokens): """14 token families, 17 surface forms (train F1 of the uncapped optimum: 0.099). Fires at 56,159 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to various categories of entities and their characteristics""" # --- end external annotation --- fire = { # oth (1,420 firings) ' other', ' others', # countr (391 firings) ' countries', # group (287 firings) ' groups', # relat (265 firings) ' related', 'related', # else (258 firings) ' else', # issu (228 firings) ' issues', # servic (201 firings) ' services', # devic (176 firings) ' devices', # area (169 firings) ' areas', # product (169 firings) ' products', 'products', # item (155 firings) ' items', # sit (147 firings) ' sites', # organization (146 firings) ' organizations', # agenc (145 firings) ' agencies', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'oth-family', 1 def prog_L07F08052(input_tokens): """13 token families, 18 surface forms (train F1 of the uncapped optimum: 0.133). Fires at 184,095 of 36,786,566 positions. Fires at 0.50% 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 identifying individuals or communities at risk or involved in certain behaviors or situations""" # --- end external annotation --- fire = { # who (3,001 firings) ' who', # people (2,297 firings) ' people', # those (1,267 firings) ' those', # man (1,086 firings) ' man', # any (964 firings) ' any', # suspect (657 firings) ' suspected', ' suspects', ' suspect', # children (586 firings) ' children', # user (567 firings) ' users', ' user', # person (530 firings) ' person', ' persons', # child (475 firings) ' child', # potent (469 firings) ' potential', # terrorist (468 firings) ' terrorists', ' terrorist', # woman (466 firings) ' woman', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'who-family', 1 def prog_L07F08053(input_tokens): """9 token families, 22 surface forms (train F1 of the uncapped optimum: 0.124). Fires at 272,407 of 36,786,566 positions. Fires at 0.74% 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 identify distinctive qualities or features""" # --- end external annotation --- fire = { # that (7,232 firings) ' that', # : (4,287 firings) ':', # because (2,196 firings) ' because', 'because', # best (1,328 firings) ' best', ' Best', 'Best', 'best', ' BEST', # com (970 firings) ' comes', 'Coming', 'comes', ' Comment', 'comings', # 5 (878 firings) ' 5', # mak (840 firings) ' makes', 'makes', # good (833 firings) ' good', 'Good', ' GOOD', # start (721 firings) ' start', ' starts', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'that-family', 1 def prog_L07F08054(input_tokens): """28 token families, 42 surface forms (train F1 of the uncapped optimum: 0.209). Fires at 95,473 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: verbs related to commands or instructions""" # --- end external annotation --- fire = { # take (2,518 firings) ' take', 'take', # go (1,194 firings) ' go', # stop (1,064 firings) ' stop', # come (1,000 firings) ' come', 'come', # keep (949 firings) ' keep', 'keep', # pay (807 firings) ' pay', # bring (802 firings) ' bring', 'bring', ' Bring', # move (750 firings) ' move', 'move', # leave (608 firings) ' leave', 'leave', # watch (596 firings) ' watch', # stay (530 firings) ' stay', 'stay', # continue (518 firings) ' continue', 'continue', # turn (471 firings) ' turn', # remove (440 firings) ' remove', 'remove', # consid (438 firings) ' consider', # join (396 firings) ' join', # send (388 firings) ' send', 'send', # ask (372 firings) ' ask', # develop (371 firings) ' develop', # hold (370 firings) ' hold', # learn (329 firings) ' learn', # drop (309 firings) ' drop', # act (293 firings) ' act', # investigate (292 firings) ' investigate', # pull (286 firings) ' pull', 'pull', # improve (253 firings) ' improve', 'improve', # seek (251 firings) ' seek', # shut (251 firings) ' shut', 'shut', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'take-family', 1 def prog_L07F08055(input_tokens): """30 token families, 41 surface forms (train F1 of the uncapped optimum: 0.302). Fires at 69,023 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to specific years and their associated statistics""" # --- end external annotation --- fire = { # year (4,812 firings) ' year', # 2016 (2,620 firings) ' 2016', # 2015 (2,600 firings) ' 2015', # 2014 (2,417 firings) ' 2014', # 2012 (1,979 firings) ' 2012', '2012', # 2013 (1,914 firings) ' 2013', # 2010 (1,441 firings) ' 2010', '2010', # 2011 (1,430 firings) ' 2011', '2011', # 2008 (931 firings) ' 2008', # novemb (909 firings) ' November', # 2009 (876 firings) ' 2009', # decemb (816 firings) ' December', # january (814 firings) ' January', # 2018 (725 firings) ' 2018', # 2007 (667 firings) ' 2007', '2007', # 2006 (443 firings) ' 2006', '2006', # quart (441 firings) ' quarter', # 2020 (422 firings) ' 2020', '2020', # 2000 (377 firings) ' 2000', # 2005 (377 firings) ' 2005', '2005', # 1990 (332 firings) ' 1990', # 2001 (276 firings) ' 2001', # 1980 (274 firings) ' 1980', '1980', # 2004 (253 firings) ' 2004', # 2002 (245 firings) ' 2002', '2002', # 2003 (236 firings) ' 2003', # 2019 (229 firings) ' 2019', '2019', # 1998 (214 firings) ' 1998', # 1970 (191 firings) ' 1970', '1970', # 1999 (179 firings) ' 1999', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'year-family', 1 def prog_L07F08056(input_tokens): """38 token families, 45 surface forms (train F1 of the uncapped optimum: 0.673). Fires at 9,478 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to homelessness""" # --- end external annotation --- fire = { # homeles (1,024 firings) ' homeless', ' Homeless', # shelt (534 firings) ' shelter', ' shelters', ' Shelter', # downtown (279 firings) ' Downtown', # eles (259 firings) 'eless', # sleep (247 firings) ' sleeping', # unemploy (241 firings) ' unemployed', # hom (233 firings) 'Hom', 'hom', # gent (218 firings) ' gent', ' Gent', # foreclosure (150 firings) ' foreclosure', # wilder (144 firings) ' wilderness', ' Wilderness', # euth (142 firings) ' euth', # homeless (140 firings) ' homelessness', # craigslist (136 firings) ' Craigslist', # begg (107 firings) ' begging', ' begg', # encamp (100 firings) ' encamp', # tent (97 firings) ' tents', # rash (96 firings) ' rash', # shel (93 firings) ' Shel', # disorder (88 firings) ' disorderly', # salva (79 firings) ' Salvation', # onew (77 firings) 'onew', # redevelop (75 firings) ' redevelopment', # evic (72 firings) ' eviction', # waterproof (63 firings) ' waterproof', # obic (63 firings) 'obic', # samar (63 firings) ' Samar', # fer (53 firings) ' feral', # needy (52 firings) ' needy', # daredevil (51 firings) ' Daredevil', # chronical (43 firings) ' chronically', # stigmat (40 firings) ' stigmat', # lone (40 firings) ' Lonely', # ghetto (38 firings) ' ghetto', # dere (35 firings) ' dere', # dehuman (33 firings) ' dehuman', # owntown (28 firings) 'owntown', # sych (27 firings) 'sych', # bnb (26 firings) 'bnb', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'homeles-family', 1 def prog_L07F08057(input_tokens): """46 token families, 52 surface forms (train F1 of the uncapped optimum: 0.635). Fires at 10,358 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to arbitration and mediation processes""" # --- end external annotation --- fire = { # tribun (246 firings) ' tribunal', ' Tribunal', # medi (170 firings) ' medi', 'medi', # oti (166 firings) 'oti', # esc (155 firings) ' esc', 'escal', # neg (144 firings) ' Neg', # arbitra (141 firings) ' arbitration', # foreclosure (133 firings) ' foreclosure', # arbit (133 firings) ' arbit', ' Arbit', # zar (126 firings) ' Zar', 'zar', # barg (109 firings) ' barg', # off (108 firings) ' offic', # trib (100 firings) ' trib', ' Trib', # ray (95 firings) ' Rays', # torr (93 firings) ' Torres', # inqu (91 firings) ' inquest', # agon (90 firings) ' agon', # liquid (86 firings) ' liquidity', # surrog (82 firings) ' surrog', # tug (81 firings) ' tug', # abram (80 firings) ' Abram', # radi (79 firings) ' radi', # oscill (76 firings) ' oscill', # jos (76 firings) ' Jos', # naomi (73 firings) ' Naomi', # coax (68 firings) ' coax', # uez (68 firings) 'uez', # rabb (67 firings) ' rabb', # salv (64 firings) ' salv', # orchestr (62 firings) ' orchestr', # impart (62 firings) ' impartial', # hdmi (61 firings) ' HDMI', # syri (56 firings) ' Syri', # determin (54 firings) ' determin', # adr (54 firings) 'adr', # improv (52 firings) ' improv', # disp (52 firings) ' Disp', # atari (51 firings) 'atari', # interf (48 firings) ' interf', # ire (48 firings) ' Ire', # caus (47 firings) ' causal', # aram (47 firings) ' Aram', # ereo (46 firings) 'ereo', # ramsay (46 firings) ' Ramsay', # adjud (45 firings) ' adjud', # vic (42 firings) ' vic', # mou (42 firings) ' Mou', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'tribun-family', 1 def prog_L07F08058(input_tokens): """20 token families, 24 surface forms (train F1 of the uncapped optimum: 0.704). Fires at 6,265 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of the concept of "core" as it relates to essential beliefs, elements, or values""" # --- end external annotation --- fire = { # core (2,506 firings) ' core', 'core', ' Core', 'Core', # found (225 firings) ' founding', 'found', # flagship (213 firings) ' flagship', # hardcore (186 firings) ' hardcore', # spine (128 firings) ' spine', # ess (123 firings) ' essence', # defin (123 firings) ' defining', # fringe (104 firings) ' fringe', # cor (100 firings) ' cores', # backbone (81 firings) ' backbone', # cornerstone (79 firings) ' cornerstone', # perimet (78 firings) ' perimeter', # baseline (73 firings) ' baseline', # hallmark (59 firings) ' hallmark', # nucleu (52 firings) ' nucleus', # periphery (45 firings) ' periphery', # bedrock (37 firings) ' bedrock', # pillar (36 firings) ' pillars', # og (26 firings) ' OG', # etho (25 firings) ' ethos', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'core-family', 1 def prog_L07F08059(input_tokens): """48 token families, 53 surface forms (train F1 of the uncapped optimum: 0.710). Fires at 21,508 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to a specific individual, likely someone in a notable context such as news or media""" # --- end external annotation --- fire = { # golden (439 firings) ' golden', # charlottesville (340 firings) ' Charlottesville', # ahl (322 firings) 'ahl', # bitcoin (315 firings) ' bitcoins', ' Bitcoins', # auer (253 firings) 'auer', # duck (236 firings) ' Ducks', # heath (224 firings) ' Heather', # wein (213 firings) ' Weiner', # armor (210 firings) ' armored', ' Armored', # mes (176 firings) ' Mess', # hein (175 firings) ' Hein', # treasur (175 firings) ' Treasurer', ' treasurer', # ital (174 firings) 'ital', # erik (163 firings) ' Erik', # engulf (158 firings) ' engulfed', ' engulf', # yosh (156 firings) ' Yosh', # alonso (156 firings) ' Alonso', # sig (153 firings) ' Sig', # hem (149 firings) ' hem', 'hemer', # fri (140 firings) ' Fried', # bundy (136 firings) ' Bundy', # affe (134 firings) 'affe', # raf (129 firings) 'raf', # rein (128 firings) ' Rein', # eng (126 firings) ' eng', # envelope (123 firings) ' envelope', # meh (123 firings) ' Meh', # ledg (123 firings) ' ledger', # das (118 firings) ' Das', # ash (112 firings) ' Ashes', # abedin (106 firings) ' Abedin', # booth (106 firings) ' Booth', # orf (106 firings) 'orf', # envelop (105 firings) ' envelop', # horizon (103 firings) ' Horizons', # affle (100 firings) 'affle', # axel (98 firings) ' Axel', # cerebr (92 firings) ' cerebral', # epstein (92 firings) ' Epstein', # sof (91 firings) ' Sof', # ipel (91 firings) 'ipel', # eff (90 firings) ' EFF', # holog (87 firings) ' holog', # huang (87 firings) ' Huang', # eph (87 firings) 'eph', # neh (86 firings) ' Neh', # dahl (86 firings) ' Dahl', # huma (77 firings) ' Huma', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'golden-family', 1 def prog_L07F08060(input_tokens): """24 token families, 34 surface forms (train F1 of the uncapped optimum: 0.232). Fires at 123,833 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: concepts related to plans and objectives""" # --- end external annotation --- fire = { # money (1,545 firings) ' money', # informa (1,314 firings) ' information', # question (1,134 firings) ' questions', # gam (1,088 firings) ' games', # data (1,058 firings) ' data', ' DATA', # thing (961 firings) ' things', # detail (776 firings) ' details', # job (594 firings) ' jobs', # photo (546 firings) ' photos', # tax (508 firings) ' taxes', ' Taxes', # imag (506 firings) ' images', # idea (493 firings) ' ideas', # product (464 firings) ' products', 'Products', # docu (429 firings) ' documents', ' Documents', # pictur (402 firings) ' pictures', # million (385 firings) ' millions', # fund (367 firings) ' funds', # updat (366 firings) ' updates', ' Updates', # cost (356 firings) ' costs', ' Costs', # drug (350 firings) ' drugs', # resourc (345 firings) ' resources', 'resources', # item (332 firings) ' items', # object (322 firings) ' objects', ' objectives', ' Objects', # goal (317 firings) ' goals', ' Goals', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'money-family', 1 def prog_L07F08061(input_tokens): """6 token families, 10 surface forms (train F1 of the uncapped optimum: 0.097). Fires at 23,048 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: hypothetical or conditional statements""" # --- end external annotation --- fire = { # were (3,203 firings) ' were', ' Were', 'Were', 'were', # want (274 firings) ' wanted', # weren (189 firings) ' weren', # had (146 firings) 'Had', ' Had', # d (143 firings) "'d", # hadn (127 firings) ' hadn', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'were-family', 1 def prog_L07F08062(input_tokens): """48 token families, 71 surface forms (train F1 of the uncapped optimum: 0.719). Fires at 21,068 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of the company Citigroup or its related entities""" # --- end external annotation --- fire = { # comcast (392 firings) ' Comcast', # equ (344 firings) ' Equ', 'Equ', 'equ', ' EQU', # por (287 firings) 'por', ' Por', 'POR', # wik (268 firings) 'Wik', ' Wik', 'wik', ' wik', # cit (267 firings) ' Cit', ' cit', 'cit', # roberto (222 firings) ' Roberto', # luk (212 firings) ' Luk', # schneid (202 firings) ' Schneider', # bhar (200 firings) ' Bhar', # muk (186 firings) ' Muk', # jes (182 firings) 'Jes', ' Jes', # ge (180 firings) ' GE', # coll (175 firings) ' coll', # scot (174 firings) ' Scot', 'Scot', # volkswagen (173 firings) ' Volkswagen', # inst (173 firings) ' Inst', 'INST', # cla (173 firings) 'Cla', ' Cla', # exp (165 firings) ' Exper', 'Exper', 'exper', # dil (156 firings) ' dil', ' Dil', # che (148 firings) ' Ches', # vag (144 firings) ' vag', ' Vag', 'vag', # barclay (143 firings) ' Barclays', # mog (143 firings) ' Mog', ' mog', # č (135 firings) 'č', # levin (135 firings) ' Levin', # vin (130 firings) ' Vin', # cran (129 firings) ' Cran', ' cran', # ek (119 firings) ' Ek', # das (118 firings) ' Das', # aber (118 firings) ' Aber', ' aber', # kro (115 firings) ' Kro', # gian (115 firings) ' Gian', # chrysl (112 firings) ' Chrysler', # gig (110 firings) ' Gig', # rubin (109 firings) ' Rubin', # voc (101 firings) ' voc', ' Voc', # gott (94 firings) ' Gott', # vand (87 firings) ' Vander', # revolv (87 firings) ' revolving', # encap (82 firings) ' encaps', # pog (80 firings) ' Pog', # zimm (80 firings) ' Zimmer', # imb (78 firings) ' imb', # mong (77 firings) 'mong', # vik (76 firings) ' Vik', # upfront (75 firings) ' upfront', # plag (69 firings) ' plag', # alg (69 firings) 'alg', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'comcast-family', 1 def prog_L07F08063(input_tokens): """16 token families, 29 surface forms (train F1 of the uncapped optimum: 0.480). Fires at 12,782 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to articles or segments labeled "Also" indicating additional content or information""" # --- end external annotation --- fire = { # also (7,336 firings) ' also', ' Also', 'Also', 'also', ' ALSO', # additional (331 firings) ' Additionally', 'Additionally', # specifical (319 firings) ' Specifically', 'Specifically', # actual (274 firings) ' Actually', 'Actually', # especial (213 firings) ' Especially', 'Especially', # meanwhile (194 firings) 'Meanwhile', # furthermore (177 firings) ' Furthermore', 'Furthermore', # basical (146 firings) ' Basically', 'Basically', # probab (92 firings) 'Probably', ' Probably', # already (70 firings) 'Already', # similar (62 firings) ' Similarly', 'Similarly', # most (49 firings) ' Mostly', # otherwise (47 firings) ' Otherwise', 'Otherwise', # lat (46 firings) 'Later', # elsewhere (37 firings) 'Elsewhere', # furth (34 firings) ' Further', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'also-family', 1 def prog_L07F08064(input_tokens): """23 token families, 27 surface forms (train F1 of the uncapped optimum: 0.692). Fires at 5,504 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to different models of iPads""" # --- end external annotation --- fire = { # ipad (866 firings) ' iPad', ' iPads', # tablet (290 firings) ' tablet', ' Tablet', # vita (282 firings) ' Vita', # surface (259 firings) ' Surface', # kindle (231 firings) ' Kindle', # macbook (209 firings) ' MacBook', # ipod (190 firings) ' iPod', # pad (173 firings) 'Pad', # arduino (128 firings) ' Arduino', # ds (106 firings) ' DS', # pocket (95 firings) ' Pocket', 'Pocket', # pkk (92 firings) ' PKK', # ecast (90 firings) 'ecast', # gadget (85 firings) ' gadgets', # ego (76 firings) ' ego', # grandchildren (75 firings) ' grandchildren', # ebook (67 firings) ' eBook', 'ebook', # atp (48 firings) ' ATP', # celsiu (46 firings) ' Celsius', # ip (39 firings) ' ip', # dvd (38 firings) ' DVDs', # canaver (29 firings) ' Canaveral', # dice (21 firings) ' Dice', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ipad-family', 1 def prog_L07F08065(input_tokens): """17 token families, 21 surface forms (train F1 of the uncapped optimum: 0.142). Fires at 12,918 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases indicating something that stands out or is distinctive""" # --- end external annotation --- fire = { # out (3,856 firings) ' out', ' Outs', # featur (176 firings) ' featured', ' Featured', # apart (147 firings) ' apart', # breakout (129 firings) ' breakout', # emerg (120 firings) ' emerged', ' emerges', # standout (99 firings) ' standout', # highlight (87 firings) ' highlighted', # not (87 firings) ' notable', # alone (82 firings) 'alone', # emerge (51 firings) ' emerge', # impres (47 firings) ' impression', # diff (46 firings) ' differs', ' differ', # premium (45 firings) ' premium', # yp (44 firings) 'yp', # popp (37 firings) ' popped', # have (34 firings) 'have', # stand (34 firings) 'standing', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'out-family', 1 def prog_L07F08066(input_tokens): """27 token families, 39 surface forms (train F1 of the uncapped optimum: 0.622). Fires at 8,936 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: terms related to transportation""" # --- end external annotation --- fire = { # transport (1,560 firings) ' transport', ' Transport', ' transported', ' transporting', ' transports', ' transporter', # transporta (702 firings) ' transportation', # port (453 firings) 'port', 'porter', ' Ports', # dispatch (239 firings) ' Dispatch', ' dispatch', # travel (189 firings) ' Travel', 'travel', # avia (174 firings) ' Aviation', # transit (133 firings) ' Transit', # convey (111 firings) ' convey', ' conveyed', # loop (102 firings) 'loop', # toledo (100 firings) ' Toledo', # whisk (99 firings) ' whisk', # orbit (97 firings) ' Orbit', # marion (88 firings) ' Marion', # warp (85 firings) ' warp', ' Warp', # ferry (82 firings) ' ferry', # shuttle (82 firings) ' shuttle', # weld (63 firings) ' Weld', # transf (62 firings) ' Transfer', 'transfer', # trave (61 firings) ' Trave', # relativ (59 firings) ' relativity', # abstrac (52 firings) ' abstraction', # repatri (46 firings) ' repatri', # coff (44 firings) ' coff', # propel (43 firings) ' propel', # porta (37 firings) 'portation', # relat (32 firings) ' relat', # messeng (27 firings) ' messenger', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'transport-family', 1 def prog_L07F08067(input_tokens): """2 token families, 2 surface forms (train F1 of the uncapped optimum: 0.153). Fires at 15,565 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to categories or examples within a discussion""" # --- end external annotation --- fire = { # like (3,054 firings) ' like', # includ (1,649 firings) ' including', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'like-family', 1 def prog_L07F08068(input_tokens): """35 token families, 38 surface forms (train F1 of the uncapped optimum: 0.498). Fires at 14,032 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of eagerness or strong desire""" # --- end external annotation --- fire = { # excit (919 firings) ' excited', # happy (657 firings) ' happy', ' Happy', # desperate (462 firings) ' desperate', # eag (457 firings) ' eager', # desire (407 firings) ' desire', # keen (404 firings) ' keen', # determin (330 firings) ' determined', # anxi (256 firings) ' anxious', # reluctant (204 firings) ' reluctant', # vow (200 firings) ' vowed', # curi (186 firings) ' curious', # hungry (179 firings) ' hungry', # avid (176 firings) ' avid', # enthusiast (176 firings) ' enthusiastic', # eager (165 firings) ' eagerly', # str (143 firings) ' strive', ' strives', # glad (130 firings) ' glad', ' gladly', # compell (111 firings) ' compelled', # unwill (94 firings) ' unwilling', # scrambl (79 firings) ' scrambling', # hesitant (73 firings) ' hesitant', # zeal (69 firings) ' zeal', # hurry (65 firings) ' hurry', # striv (62 firings) ' striving', # impatient (61 firings) ' impatient', # ecstat (57 firings) ' ecstatic', # ardent (57 firings) ' ardent', # vying (54 firings) ' vying', # bustl (47 firings) ' bustling', # oblivi (42 firings) ' oblivious', # hast (42 firings) ' hast', # perate (41 firings) 'perate', # enthusiastical (40 firings) ' enthusiastically', # interest (38 firings) 'interested', # itch (37 firings) ' itching', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'excit-family', 1 def prog_L07F08069(input_tokens): """29 token families, 34 surface forms (train F1 of the uncapped optimum: 0.719). Fires at 4,241 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of honors or awards""" # --- end external annotation --- fire = { # hon (715 firings) ' hon', ' Hon', 'hon', 'Hon', # honor (254 firings) ' Honor', ' honorable', # lauren (160 firings) ' Lauren', # fav (117 firings) ' Fav', # fy (110 firings) ' FY', 'FY', # honorary (96 firings) ' honorary', # pri (95 firings) 'pri', # duc (93 firings) ' Duc', # friend (90 firings) ' Friend', # dishon (86 firings) ' dishon', # win (81 firings) 'WIN', # san (75 firings) 'san', # ardon (74 firings) 'ardon', # unques (66 firings) ' unquestion', # holden (65 firings) ' Holden', # mour (60 firings) ' Mour', # patriotism (60 firings) ' patriotism', # heed (51 firings) 'heed', # unsur (49 firings) ' unsur', # frazi (47 firings) ' Frazier', # achel (44 firings) 'achel', # honour (43 firings) ' Honour', # pos (39 firings) ' POS', # exc (37 firings) 'Exc', # nos (34 firings) ' Nos', # laud (32 firings) ' laud', # favor (31 firings) ' Favor', # spon (29 firings) 'Spons', # regrett (19 firings) ' regrett', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'hon-family', 1 def prog_L07F08070(input_tokens): """1 token families, 5 surface forms (train F1 of the uncapped optimum: 0.387). Fires at 11,279 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of uncertainty or lack of knowledge in the text""" # --- end external annotation --- fire = { # know (5,758 firings) ' know', ' knows', ' knowing', 'know', ' KNOW', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'know-family', 1 def prog_L07F08071(input_tokens): """49 token families, 55 surface forms (train F1 of the uncapped optimum: 0.675). Fires at 10,502 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "nod" and its variations indicating agreement or acknowledgment""" # --- end external annotation --- fire = { # ndp (322 firings) ' NDP', # asleep (240 firings) ' asleep', # nod (227 firings) ' nod', ' nods', # nigel (194 firings) ' Nigel', # nomination (150 firings) ' nominations', # sigh (147 firings) ' sigh', ' sighed', # bribery (144 firings) ' bribery', # nephew (129 firings) ' nephew', # brib (115 firings) ' bribes', # thumb (114 firings) ' thumbs', # yep (113 firings) 'Yep', ' Yep', # sonia (111 firings) ' Sonia', # naw (111 firings) ' Naw', # succumb (111 firings) ' succumbed', ' succumb', # bob (102 firings) ' bob', # cough (97 firings) ' cough', ' coughing', # homage (95 firings) ' homage', # conces (94 firings) ' concession', # redmond (91 firings) ' Redmond', # concession (91 firings) ' concessions', # che (90 firings) ' cheers', # open (89 firings) ' openness', # quasi (88 firings) ' quasi', # yen (86 firings) ' yen', # nou (80 firings) ' Nou', # noun (72 firings) ' noun', # scoff (71 firings) ' scoff', # blink (70 firings) ' blink', ' blinked', # nud (63 firings) ' nud', # euphem (63 firings) ' euphem', # pok (63 firings) ' Pok', # niece (63 firings) ' niece', # sleepy (63 firings) ' sleepy', # bow (61 firings) ' bowed', # salute (61 firings) ' salute', # nope (59 firings) ' Nope', # umb (57 firings) 'umbs', # tacit (56 firings) ' tacit', # shrug (56 firings) ' shrug', # smug (55 firings) ' smug', # limp (54 firings) ' limp', # patern (54 firings) ' paternal', # greenberg (54 firings) ' Greenberg', # shrugg (51 firings) ' shrugged', # yawn (51 firings) ' yawn', # nay (48 firings) ' Nay', # udg (47 firings) 'udging', # att (46 firings) ' attest', # uppet (46 firings) 'uppet', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'ndp-family', 1 def prog_L07F08072(input_tokens): """8 token families, 13 surface forms (train F1 of the uncapped optimum: 0.821). Fires at 30,836 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of law enforcement or police activity""" # --- end external annotation --- fire = { # police (22,003 firings) ' police', ' Police', 'Police', # author (625 firings) 'Authorities', ' Authorities', # investigator (367 firings) 'Investigators', ' Investigators', # offic (320 firings) 'Officers', # rcmp (194 firings) ' RCMP', # detect (185 firings) ' detectives', 'Detect', # tmz (146 firings) ' TMZ', # ctv (139 firings) 'CTV', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'police-family', 1 def prog_L07F08073(input_tokens): """7 token families, 13 surface forms (train F1 of the uncapped optimum: 0.077). Fires at 237,284 of 36,786,566 positions. Fires at 0.65% 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 events, actions, or subjects that have numeric or temporal significance""" # --- end external annotation --- fire = { # � (12,658 firings) '�', # i (3,930 firings) ' I', ' i', # image (1,511 firings) ' Image', 'image', # media (790 firings) ' Media', # a (643 firings) ' A', 'ça', # president (633 firings) ' President', 'President', # we (595 firings) ' We', 'WE', ' WE', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '�-family', 1 def prog_L07F08074(input_tokens): """3 token families, 3 surface forms (train F1 of the uncapped optimum: 0.150). Fires at 75,008 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: connections between policies and their impacts on various societal aspects""" # --- end external annotation --- fire = { # and (46,061 firings) ' and', # or (7,740 firings) ' or', # express (220 firings) ' expressed', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'and-family', 1 def prog_L07F08075(input_tokens): """23 token families, 36 surface forms (train F1 of the uncapped optimum: 0.879). Fires at 18,288 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to specific dates and numerical data""" # --- end external annotation --- fire = { # 15 (10,479 firings) ' 15', '15', # 150 (1,510 firings) ' 150', '150', # 55 (412 firings) ' 55', # teen (345 firings) 'teen', # fifteen (200 firings) ' fifteen', # 1500 (187 firings) ' 1500', '1500', # 155 (187 firings) ' 155', '155', # 1600 (146 firings) ' 1600', '1600', # 1915 (124 firings) ' 1915', # che (122 firings) ' Ches', # sag (93 firings) ' Sag', # 1910 (90 firings) ' 1910', # 152 (89 firings) ' 152', '152', # continent (87 firings) ' Continental', # 153 (85 firings) ' 153', '153', # 158 (85 firings) ' 158', '158', # lexington (84 firings) ' Lexington', # 151 (76 firings) ' 151', '151', # 315 (75 firings) '315', ' 315', # 157 (67 firings) ' 157', '157', # 156 (66 firings) ' 156', '156', # 159 (62 firings) ' 159', '159', # irteen (57 firings) 'irteen', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '15-family', 1 def prog_L07F08076(input_tokens): """50 token families, 60 surface forms (train F1 of the uncapped optimum: 0.655). Fires at 29,946 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of JavaScript and related web technology terms""" # --- end external annotation --- fire = { # javascript (869 firings) ' JavaScript', ' javascript', 'javascript', # umble (389 firings) 'umble', # end (344 firings) 'ender', # extinc (259 firings) ' extinction', # unlock (210 firings) ' unlocks', # pastebin (207 firings) ' Pastebin', # read (207 firings) ' Reader', 'readable', # iper (201 firings) 'iper', 'ipers', # penn (197 firings) ' penned', # fairy (196 firings) ' fairy', ' Fairy', # noble (181 firings) ' Noble', # print (181 firings) ' Print', # undergraduate (176 firings) ' undergraduate', # batt (171 firings) ' batting', ' batted', # qualifi (169 firings) ' qualifier', ' qualifiers', # robbie (165 firings) ' Robbie', # abdul (157 firings) ' Abdul', # chie (155 firings) 'chie', # safari (153 firings) ' Safari', # motorsport (149 firings) ' Motorsport', # stub (144 firings) ' Stub', ' stub', # jee (143 firings) 'jee', # lucy (142 firings) ' Lucy', # nim (140 firings) ' Nim', # van (136 firings) ' Vanity', ' vanity', # car (132 firings) ' Carly', # phy (130 firings) 'phy', # sheldon (129 firings) ' Sheldon', # trophy (127 firings) ' Trophy', # fletch (124 firings) ' Fletcher', # orwell (124 firings) ' Orwell', # understand (124 firings) ' understandable', # ully (121 firings) 'ully', # wembley (120 firings) ' Wembley', # pearce (114 firings) ' Pearce', # albion (111 firings) ' Albion', # etsy (110 firings) ' Etsy', 'etsy', # elliot (108 firings) ' Elliot', # turf (107 firings) ' turf', # coult (105 firings) ' Coulter', # sharia (104 firings) ' Sharia', # booth (103 firings) ' Booth', # mccoy (103 firings) ' McCoy', # goalie (103 firings) ' goalie', # jag (102 firings) ' Jag', # obia (92 firings) 'obia', # macdonald (92 firings) ' MacDonald', # gunn (90 firings) ' gunned', # falsehood (89 firings) ' falsehood', # alec (83 firings) ' Alec', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'javascript-family', 1 def prog_L07F08077(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.439). Fires at 63,396 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the letter 's'""" # --- end external annotation --- fire = { # s (56,666 firings) 's', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 's-family', 1 def prog_L07F08078(input_tokens): """9 token families, 31 surface forms (train F1 of the uncapped optimum: 0.119). Fires at 345,058 of 36,786,566 positions. Fires at 0.94% 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 community engagement and interaction""" # --- end external annotation --- fire = { # and (14,678 firings) ' and', 'anding', # their (4,144 firings) ' their', 'their', # more (2,837 firings) ' more', # people (2,032 firings) ' people', # our (1,920 firings) ' our', # your (1,795 firings) ' your', 'your', ' yours', ' YOUR', # develop (1,495 firings) ' development', ' develop', ' developing', ' developers', ' Development', 'develop', ' develops', 'development', ' Develop', # world (1,185 firings) ' world', ' worlds', ' worldly', # commun (948 firings) ' community', ' communities', ' commun', ' Communities', 'community', ' communal', 'Commun', ' Commun', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'and-family', 1 def prog_L07F08079(input_tokens): """11 token families, 24 surface forms (train F1 of the uncapped optimum: 0.090). Fires at 246,871 of 36,786,566 positions. Fires at 0.67% 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: phrases related to websites and online presence""" # --- end external annotation --- fire = { # , (28,400 firings) ',', ' ,', # has (4,631 firings) ' has', ' HAS', # which (2,669 firings) ' which', 'which', # here (1,805 firings) ' here', ' Here', 'here', ' HERE', # where (1,691 firings) ' where', 'where', # com (1,165 firings) 'com', # so (1,107 firings) ' so', # post (756 firings) ' posted', ' posts', ' posting', ' postings', # site (657 firings) ' site', ' Site', 'site', # website (644 firings) ' website', ' Website', # call (619 firings) ' called', } token = input_tokens[-1] if token not in fire: return "no match", 0 return ',-family', 1 def prog_L07F08080(input_tokens): """16 token families, 23 surface forms (train F1 of the uncapped optimum: 0.490). Fires at 6,755 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to expressions of concern or care""" # --- end external annotation --- fire = { # care (2,067 firings) ' care', 'Care', ' CARE', # car (524 firings) ' cares', ' caring', ' cared', # worry (451 firings) ' worry', ' worrying', # dream (142 firings) ' dreamed', ' dreaming', # depend (104 firings) ' depend', 'depend', # assion (84 firings) 'assion', # reck (75 firings) ' reck', # cat (60 firings) ' cater', # compas (50 firings) ' compassion', # matter (43 firings) ' mattered', # disappro (39 firings) ' disappro', # christ (35 firings) ' christ', # iem (35 firings) 'iem', # icion (29 firings) 'icion', # indifferent (25 firings) ' indifferent', # root (20 firings) ' rooting', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'care-family', 1 def prog_L07F08081(input_tokens): """44 token families, 46 surface forms (train F1 of the uncapped optimum: 0.630). Fires at 9,408 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the term "consistent" and its derivatives in various contexts""" # --- end external annotation --- fire = { # consistent (1,175 firings) ' consistent', ' consistently', # persistent (283 firings) ' persistent', # predict (244 firings) ' predictable', # continu (235 firings) ' continuous', ' continuity', # unanim (195 firings) ' unanimous', # consistency (160 firings) ' consistency', # compar (156 firings) ' comparable', # accord (141 firings) ' accordance', # istent (137 firings) 'istent', # inconsistent (137 firings) ' inconsistent', # systemat (124 firings) ' systematic', # reliab (108 firings) ' reliably', # coherent (97 firings) ' coherent', # errat (92 firings) ' erratic', # par (86 firings) ' parity', # unif (81 firings) ' unified', # unchang (77 firings) ' unchanged', # uneven (67 firings) ' uneven', # predictab (67 firings) ' predictably', # collegiate (67 firings) ' collegiate', # sloppy (65 firings) ' sloppy', # consensu (64 firings) ' consensual', # discrepanc (54 firings) ' discrepancies', # herent (53 firings) 'herent', # contradictory (51 firings) ' contradictory', # blatant (51 firings) ' blatant', # discrepancy (50 firings) ' discrepancy', # inconsistenc (49 firings) ' inconsistencies', # aver (44 firings) 'avering', # conflict (44 firings) ' conflicting', # sporad (41 firings) ' sporadic', # incompat (41 firings) ' incompatible', # cohes (40 firings) ' cohesive', # dispar (40 firings) ' disparity', # uniform (37 firings) ' uniformly', # uity (35 firings) 'uity', # inconsistency (33 firings) ' inconsistency', # devia (33 firings) ' deviation', # concurrent (33 firings) ' concurrent', # idespread (27 firings) 'idespread', # her (26 firings) 'herence', # uninterrupt (26 firings) ' uninterrupted', # vari (24 firings) ' variance', # etr (24 firings) 'etrical', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'consistent-family', 1 def prog_L07F08082(input_tokens): """15 token families, 19 surface forms (train F1 of the uncapped optimum: 0.657). Fires at 5,551 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of the word "let." """ # --- end external annotation --- fire = { # let (1,958 firings) 'let', 'lets', 'LET', ' LET', # rot (162 firings) 'rot', # hya (130 firings) 'hya', # plet (102 firings) 'plet', 'plets', # letico (97 firings) 'letico', # lest (89 firings) 'lest', # jet (77 firings) 'jet', # booklet (50 firings) ' booklet', # pour (44 firings) 'pour', # ourt (43 firings) 'ourt', # clot (41 firings) ' clot', # hepatiti (38 firings) ' hepatitis', # format (26 firings) 'format', # por (25 firings) 'POR', # knit (24 firings) ' knit', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'let-family', 1 def prog_L07F08083(input_tokens): """45 token families, 61 surface forms (train F1 of the uncapped optimum: 0.657). Fires at 11,095 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of the term "Rav" and its variations, likely indicating a focus on specific individuals or entities associated with that name""" # --- end external annotation --- fire = { # rav (593 firings) 'rav', ' Rav', ' rav', 'ravity', # lev (401 firings) 'lev', 'Lev', # aggravat (285 firings) ' aggravated', # urt (236 firings) 'urt', # nev (213 firings) ' Nev', 'Nev', # ava (171 firings) 'ava', # umm (159 firings) 'umm', # riv (153 firings) 'riv', ' Riv', # sv (153 firings) ' SV', 'sv', ' sv', # ament (147 firings) 'ament', # urb (146 firings) 'urb', # grav (146 firings) ' grav', ' Grav', # uv (144 firings) 'uv', 'UV', # vit (140 firings) ' Vital', ' vit', # dust (139 firings) ' Dust', 'Dust', # jorge (135 firings) ' Jorge', # lv (135 firings) 'lv', 'LV', ' LV', # č (129 firings) 'č', # rave (128 firings) 'rave', # av (122 firings) 'Av', # ripp (115 firings) 'ripp', # rov (105 firings) 'rov', # kov (90 firings) ' Kov', # rev (87 firings) 'rev', # ipv (80 firings) ' IPv', # atri (78 firings) 'atri', # orge (77 firings) 'orge', # hurt (76 firings) ' Hurt', # taj (73 firings) ' Taj', # bravo (71 firings) ' Bravo', # rive (70 firings) ' rive', # thornton (67 firings) ' Thornton', # hav (66 firings) ' Hav', # eucl (66 firings) ' Eucl', # lov (65 firings) ' Lov', # igor (63 firings) 'igor', # scorp (61 firings) ' Scorp', # rgb (57 firings) ' RGB', # mov (56 firings) ' Mov', # stev (56 firings) ' Stev', # val (56 firings) ' VAL', 'VAL', # pavel (55 firings) ' Pavel', # buoy (52 firings) ' buoy', # olv (51 firings) 'olver', # vk (49 firings) ' VK', 'VK', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'rav-family', 1 def prog_L07F08084(input_tokens): """19 token families, 26 surface forms (train F1 of the uncapped optimum: 0.210). Fires at 28,372 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instances of phrases that indicate first impressions or appearances""" # --- end external annotation --- fire = { # surface (641 firings) ' surface', # eye (489 firings) ' eye', ' eyes', # beginn (468 firings) ' beginning', ' beginnings', # itself (383 firings) ' itself', # glance (314 firings) ' glance', # term (234 firings) 'term', # core (223 firings) ' core', # dist (187 firings) ' distance', # hand (154 firings) 'hand', 'handed', # observ (141 firings) ' observers', ' observer', # incep (115 firings) ' inception', # trail (112 firings) ' trail', # visual (97 firings) ' visually', # outset (89 firings) ' outset', # innocu (85 firings) ' innocuous', # radar (85 firings) ' radar', ' Radar', # intuit (81 firings) ' intuitive', 'intuitive', # stock (74 firings) 'stock', # outsid (71 firings) ' outsiders', ' outsider', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'surface-family', 1 def prog_L07F08085(input_tokens): """4 token families, 5 surface forms (train F1 of the uncapped optimum: 0.061). Fires at 45,439 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: instructions related to cooking and food preparation""" # --- end external annotation --- fire = { # or (600 firings) ' or', # keep (172 firings) ' keep', ' keeps', # until (149 firings) ' until', # every (135 firings) ' every', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'or-family', 1 def prog_L07F08086(input_tokens): """13 token families, 28 surface forms (train F1 of the uncapped optimum: 0.070). Fires at 220,121 of 36,786,566 positions. Fires at 0.60% 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 names and terms related to political and societal issues""" # --- end external annotation --- fire = { # a (6,179 firings) ' a', # � (1,834 firings) ' �', # all (1,548 firings) ' all', 'All', 'all', ' ALL', ' allied', # one (1,535 firings) ' one', ' ONE', 'onement', # there (1,485 firings) ' there', 'there', # trump (1,468 firings) ' Trump', ' trump', # people (1,455 firings) ' people', 'people', ' PEOPLE', # ' (991 firings) " '", "'", # two (906 firings) ' two', ' TWO', # some (855 firings) ' some', 'some', # many (783 firings) ' many', 'many', # those (632 firings) ' those', 'those', # such (556 firings) ' such', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'a-family', 1 def prog_L07F08087(input_tokens): """40 token families, 61 surface forms (train F1 of the uncapped optimum: 0.426). Fires at 24,470 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to Kickstarter campaigns and related terminology""" # --- end external annotation --- fire = { # campaign (1,288 firings) ' campaign', 'Campaign', # fund (1,192 firings) ' funding', ' funded', 'funded', 'Fund', 'funding', 'fund', ' Funding', # kickstart (681 firings) ' Kickstarter', # ord (438 firings) 'order', 'orders', 'Order', # back (376 firings) ' backers', ' backer', # steam (322 firings) ' Steam', # fundrais (320 firings) ' fundraising', ' fundraiser', # ico (249 firings) ' ICO', 'ICO', # crowdfund (245 firings) ' crowdfunding', # beta (244 firings) ' beta', ' Beta', # grassroot (236 firings) ' grassroots', # stretch (229 firings) ' stretch', ' Stretch', 'Stretch', # pledge (228 firings) ' pledge', ' Pledge', # peti (203 firings) ' petition', # kick (177 firings) ' Kick', 'Kick', # start (167 firings) 'starter', ' Starter', 'started', # payp (166 firings) ' PayPal', # drm (138 firings) ' DRM', # ear (132 firings) ' Early', # dona (126 firings) ' donation', # ourc (124 firings) 'ourced', 'ourcing', # subscrip (123 firings) ' subscription', # countdown (120 firings) ' countdown', # ransom (118 firings) ' ransom', # pax (116 firings) ' PAX', # collector (113 firings) ' collectors', ' Collector', # citizen (110 firings) ' Citizen', # ogo (106 firings) 'ogo', # patreon (96 firings) ' Patreon', # tabletop (91 firings) ' tabletop', # eta (86 firings) 'ETA', # indie (83 firings) ' Indie', # arduino (82 firings) ' Arduino', # pebble (76 firings) ' Pebble', # kamp (73 firings) 'kamp', # pledg (73 firings) ' pledges', # utra (68 firings) 'utra', # ledge (67 firings) 'ledge', # cgi (66 firings) ' CGI', # release (65 firings) 'release', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'campaign-family', 1 def prog_L07F08088(input_tokens): """8 token families, 13 surface forms (train F1 of the uncapped optimum: 0.772). Fires at 10,223 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to various types of products""" # --- end external annotation --- fire = { # product (6,017 firings) ' products', ' product', ' Products', 'products', ' PRODUCT', 'Products', # merchandise (235 firings) ' merchandise', # creation (99 firings) ' creations', # market (84 firings) ' marketed', # supple (80 firings) ' supplements', # cosmetic (78 firings) ' cosmetics', # merch (66 firings) ' merch', # invention (51 firings) ' inventions', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'product-family', 1 def prog_L07F08089(input_tokens): """3 token families, 10 surface forms (train F1 of the uncapped optimum: 0.389). Fires at 79,792 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: possessive pronouns and their associations""" # --- end external annotation --- fire = { # its (25,016 firings) ' its', ' Its', 'Its', ' ITS', # their (13,788 firings) ' their', ' Their', 'Their', 'their', # whose (1,458 firings) ' whose', 'whose', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'its-family', 1 def prog_L07F08090(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.239). Fires at 31,073 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: the word "it" in various contexts, indicating a focus on pronouns""" # --- end external annotation --- fire = { # it (21,650 firings) ' it', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'it-family', 1 def prog_L07F08091(input_tokens): """27 token families, 38 surface forms (train F1 of the uncapped optimum: 0.616). Fires at 10,284 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: phrases related to avoidance""" # --- end external annotation --- fire = { # avoid (2,630 firings) ' avoid', ' avoided', ' avoiding', ' avoidance', ' Avoid', ' avoids', 'Avoid', 'avoid', # prevent (621 firings) ' prevent', # dodg (141 firings) ' dodged', ' dodging', # minimize (137 firings) ' minimize', # aver (125 firings) ' aver', ' aversion', # wary (122 firings) ' wary', # spar (105 firings) ' spared', # dai (103 firings) ' Dai', # mitigate (97 firings) ' mitigate', # beware (96 firings) ' beware', ' Beware', # shun (93 firings) ' shun', # dodge (88 firings) ' dodge', # avert (84 firings) ' avert', # evade (83 firings) ' evade', # esche (80 firings) ' esche', # preempt (77 firings) ' preempt', # refrain (73 firings) ' refrain', # circumvent (68 firings) ' circumvent', # omitt (67 firings) ' omitted', # unavoid (55 firings) ' unavoidable', ' unavoid', # anticipate (54 firings) ' anticipate', # fear (52 firings) ' fearing', # eliminat (41 firings) ' eliminates', # deflect (33 firings) ' deflect', # minimiz (32 firings) ' minimizing', # anticipat (32 firings) ' anticipating', # eware (27 firings) 'eware', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'avoid-family', 1 def prog_L07F08092(input_tokens): """1 token families, 1 surface forms (train F1 of the uncapped optimum: 0.294). Fires at 97,064 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the word "in" used as a preposition""" # --- end external annotation --- fire = { # in (88,862 firings) ' in', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'in-family', 1 def prog_L07F08093(input_tokens): """37 token families, 48 surface forms (train F1 of the uncapped optimum: 0.595). Fires at 12,793 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: mentions of "waters," implying a focus on marine or aquatic contexts""" # --- end external annotation --- fire = { # wat (3,531 firings) ' water', ' waters', 'water', ' Waters', 'waters', # wav (483 firings) ' waves', ' Waves', # sea (345 firings) ' seas', ' Seas', # underwat (271 firings) ' underwater', # ski (263 firings) ' skies', # riv (243 firings) ' rivers', ' Rivers', # rock (208 firings) ' rocks', ' Rocks', # shor (186 firings) ' shores', # ater (185 firings) 'aters', 'ATER', # whal (164 firings) ' whales', # boat (161 firings) ' boats', 'boats', # depth (151 firings) ' depths', # ocean (151 firings) ' oceans', # wash (148 firings) ' washed', # airspace (140 firings) ' airspace', # vessel (128 firings) ' vessels', # disput (123 firings) ' disputed', # maritime (119 firings) ' maritime', # murky (98 firings) ' murky', # watersh (94 firings) ' watershed', # waterway (93 firings) ' waterways', # strait (93 firings) ' Strait', # sail (89 firings) ' sailed', ' sails', # submerg (82 firings) ' submerged', # rocky (80 firings) ' rocky', # afloat (79 firings) ' afloat', # waterfront (76 firings) ' waterfront', # fray (71 firings) ' fray', # warship (66 firings) ' warships', # salty (56 firings) ' salty', # reef (56 firings) ' reefs', # burges (54 firings) ' Burgess', # kuh (52 firings) ' Kuh', # wetland (41 firings) ' wetlands', # fluid (37 firings) ' fluids', # overboard (33 firings) ' overboard', # ippl (33 firings) 'ipples', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'wat-family', 1 def prog_L07F08094(input_tokens): """6 token families, 16 surface forms (train F1 of the uncapped optimum: 0.865). Fires at 12,994 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to "data" in various contexts related to technology and information processing""" # --- end external annotation --- fire = { # data (9,887 firings) ' data', ' Data', 'Data', 'data', ' DATA', 'DATA', ' datas', # dat (354 firings) ' Dat', ' dat', 'Dat', 'dat', # abyt (92 firings) 'abytes', # dataset (89 firings) ' dataset', ' datasets', # ー (57 firings) 'ー', # metry (44 firings) 'metry', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'data-family', 1 def prog_L07F08095(input_tokens): """2 token families, 2 surface forms (train F1 of the uncapped optimum: 0.172). Fires at 115,817 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: sentences or phrases that provide conclusions or summaries""" # --- end external annotation --- fire = { # . (107,845 firings) '.', # ). (1,448 firings) ').', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '.-family', 1 def prog_L07F08096(input_tokens): """6 token families, 7 surface forms (train F1 of the uncapped optimum: 0.705). Fires at 10,094 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: occurrences of the letter 'b'""" # --- end external annotation --- fire = { # b (6,872 firings) 'b', ' b', # bu (153 firings) ' bu', # bro (118 firings) ' bro', # bun (76 firings) ' bun', # ber (67 firings) ' ber', # bik (55 firings) ' biking', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'b-family', 1 def prog_L07F08097(input_tokens): """25 token families, 33 surface forms (train F1 of the uncapped optimum: 0.193). Fires at 141,622 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: experiences of personal struggles and achievements""" # --- end external annotation --- fire = { # have (7,454 firings) ' have', # had (5,235 firings) ' had', # m (4,425 firings) "'m", 'm', # ve (3,779 firings) "'ve", 've', # am (2,705 firings) ' am', # t (2,481 firings) "'t", # don (2,230 firings) ' don', # want (1,915 firings) ' want', ' wanted', # got (1,710 firings) ' got', # ll (1,601 firings) 'll', "'ll", # didn (1,594 firings) ' didn', 'didn', # won (1,256 firings) ' won', # did (1,117 firings) ' did', ' DID', # alway (1,047 firings) ' always', ' ALWAYS', # nev (960 firings) ' never', # decid (906 firings) ' decided', # start (885 firings) ' started', # couldn (713 firings) ' couldn', # feel (699 firings) ' feel', # d (694 firings) "'d", # love (647 firings) ' love', ' LOVE', # knew (516 firings) ' knew', # haven (478 firings) ' haven', # wasn (409 firings) ' wasn', # spent (397 firings) ' spent', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'have-family', 1 def prog_L07F08098(input_tokens): """34 token families, 40 surface forms (train F1 of the uncapped optimum: 0.669). Fires at 6,235 of 36,786,566 positions.""" # --- begin external annotation (ignored at runtime) --- """prev SAE description: references to lakes and their related features""" # --- end external annotation --- fire = { # lake (1,410 firings) ' Lake', ' lake', 'lake', 'Lake', # lak (388 firings) ' Lakes', ' lakes', # basin (178 firings) ' Basin', ' basin', # balt (133 firings) ' Baltic', # reservoir (127 firings) ' reservoirs', ' reservoir', # algae (123 firings) ' algae', # amin (108 firings) 'amin', # dil (106 firings) ' dil', # dai (100 firings) ' Dai', # erie (95 firings) ' Erie', # overlook (92 firings) ' overlooking', # shallow (85 firings) ' shallow', # almond (84 firings) ' almond', # kobe (78 firings) ' Kobe', # harbour (73 firings) ' harbour', # darl (71 firings) ' Darling', # apeake (68 firings) 'apeake', # azaki (65 firings) 'azaki', # breast (65 firings) ' breasts', # lobst (59 firings) ' lobster', # wetland (56 firings) ' wetlands', # axel (52 firings) ' Axel', # pond (49 firings) ' ponds', # freshwat (49 firings) ' freshwater', # amino (45 firings) ' amino', # irie (37 firings) 'irie', # lob (35 firings) ' lob', # hai (32 firings) 'hai', # shad (28 firings) ' Shad', # retri (27 firings) ' retri', # admir (26 firings) ' Admir', # blob (26 firings) ' blob', # mar (24 firings) ' mars', # amph (16 firings) ' amph', } token = input_tokens[-1] if token not in fire: return "no match", 0 return 'lake-family', 1 def prog_L07F08099(input_tokens): """32 token families, 61 surface forms (train F1 of the uncapped optimum: 0.171). Fires at 200,709 of 36,786,566 positions. Fires at 0.55% 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 associated with leaks, spills, or discharges in various contexts""" # --- end external annotation --- fire = { # - (6,983 firings) '-', # t (2,232 firings) 't', 'ét', # th (1,769 firings) 'th', 'TH', # a (1,700 firings) 'a', 'ía', # i (1,513 firings) 'i', # o (1,378 firings) 'o', 'ão', 'ño', # as (1,214 firings) 'as', 'AS', # y (1,099 firings) 'y', 'Y', # ar (1,084 firings) 'ar', 'AR', # an (1,050 firings) 'an', 'AN', # z (962 firings) 'z', 'Z', # on (927 firings) 'on', 'ON', # n (905 firings) 'n', 'ön', 'én', 'án', 'ón', 'ín', # en (872 firings) 'en', 'EN', # 0 (790 firings) '0', # al (760 firings) 'al', 'AL', # is (752 firings) 'is', # am (751 firings) 'am', 'AM', # at (667 firings) 'at', 'AT', # r (633 firings) 'r', 'ür', 'ör', 'ré', # u (619 firings) 'u', # le (585 firings) 'le', 'LE', # h (579 firings) 'h', # e (561 firings) 'e', # p (538 firings) 'p', # um (537 firings) 'um', 'UM', # k (534 firings) 'k', # v (530 firings) 'v', # ic (524 firings) 'ic', # ch (522 firings) 'ch', 'CH', # ine (511 firings) 'ine', 'ines', 'INE', # id (504 firings) 'id', 'ID', } token = input_tokens[-1] if token not in fire: return "no match", 0 return '--family', 1