**Table D.1 — the ablation at three references, in nats, with each construct's rank among 320 random sets.** `rise_over_random_nats` is the carriers' loss rise minus the mean rise over the size-matched random sets, signed, at the construct's own positions; it is the unit the papers' bodies use. `rank_from_top` is 1 plus the number of random sets at or above the carriers, and `exact_one_sided_p` is (1 + that number) / (1 + 320); `holm_significant` applies Holm-Bonferroni at 0.05 across the 16 constructs at each reference. The smallest p this control allows is 1/321 = 0.00312. Control units are not reported: the control's spread is long-tailed at the two later references and does not settle with more draws, so it has no converged denominator. `old_set_*` columns are the 84 B carrier set removed at the end, against the same masks. | reference | tokens_b | construct | rise_over_random_nats | carrier_rise_nats | control_mean_nats | rank_from_top | n_masks | exact_one_sided_p | exceeds_every_mask | holm_significant | old_set_rise_nats | old_set_rank_from_top | old_set_p | old_set_holm_significant | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | pretrain_iter_0001000 | 4.1900 | AsyncFor | 0.0701 | 0.1418 | 0.0716 | 60 | 320 | 0.1869 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | AsyncWith | 0.1391 | 0.2014 | 0.0622 | 41 | 320 | 0.1277 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | DictComp | 0.0500 | 0.1015 | 0.0515 | 52 | 320 | 0.1620 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | For | 0.0950 | 0.1829 | 0.0879 | 6 | 320 | 0.0187 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | GeneratorExp | 0.0766 | 0.1534 | 0.0768 | 47 | 320 | 0.1464 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | If | -0.0447 | -0.0080 | 0.0367 | 243 | 320 | 0.7570 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | IfExp | 0.0578 | 0.1363 | 0.0785 | 96 | 320 | 0.2991 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | Import | 0.2025 | 0.2761 | 0.0736 | 80 | 320 | 0.2492 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | ImportFrom | -0.0094 | -0.1207 | -0.1113 | 169 | 320 | 0.5265 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | Lambda | 0.6331 | 0.7079 | 0.0748 | 1 | 320 | 0.0031 | True | True | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | ListComp | 0.0260 | 0.1092 | 0.0832 | 91 | 320 | 0.2835 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | NamedExpr | -0.1531 | -0.0656 | 0.0875 | 262 | 320 | 0.8162 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | SetComp | 0.0428 | 0.1114 | 0.0686 | 67 | 320 | 0.2087 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | Try | 1.2464 | 1.3230 | 0.0766 | 1 | 320 | 0.0031 | True | True | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | While | -0.0363 | -0.0145 | 0.0218 | 234 | 320 | 0.7290 | False | False | — | — | — | — | | pretrain_iter_0001000 | 4.1900 | With | 0.1779 | 0.2854 | 0.1076 | 18 | 320 | 0.0561 | False | False | — | — | — | — | | pretrain_iter_0020000 | 83.9000 | AsyncFor | 0.0335 | 0.0352 | 0.0017 | 77 | 320 | 0.2399 | False | False | -0.0980 | 302 | 0.9408 | False | | pretrain_iter_0020000 | 83.9000 | AsyncWith | 0.0307 | 0.0491 | 0.0183 | 98 | 320 | 0.3053 | False | False | 0.1822 | 4 | 0.0125 | False | | pretrain_iter_0020000 | 83.9000 | DictComp | 0.4299 | 0.4871 | 0.0573 | 1 | 320 | 0.0031 | True | True | 0.0056 | 261 | 0.8131 | False | | pretrain_iter_0020000 | 83.9000 | For | 0.0895 | 0.0788 | -0.0107 | 20 | 320 | 0.0623 | False | False | -0.0179 | 172 | 0.5358 | False | | pretrain_iter_0020000 | 83.9000 | GeneratorExp | 0.8968 | 0.9429 | 0.0461 | 1 | 320 | 0.0031 | True | True | 0.1861 | 10 | 0.0312 | False | | pretrain_iter_0020000 | 83.9000 | If | 0.0663 | 0.0700 | 0.0037 | 18 | 320 | 0.0561 | False | False | 0.0150 | 129 | 0.4019 | False | | pretrain_iter_0020000 | 83.9000 | IfExp | 1.0712 | 1.1636 | 0.0924 | 1 | 320 | 0.0031 | True | True | 0.1644 | 63 | 0.1963 | False | | pretrain_iter_0020000 | 83.9000 | Import | 0.0242 | 0.1715 | 0.1473 | 139 | 320 | 0.4330 | False | False | -0.1102 | 252 | 0.7850 | False | | pretrain_iter_0020000 | 83.9000 | ImportFrom | -0.4332 | -0.2849 | 0.1484 | 297 | 320 | 0.9252 | False | False | -0.1402 | 267 | 0.8318 | False | | pretrain_iter_0020000 | 83.9000 | Lambda | 3.8379 | 3.8443 | 0.0064 | 1 | 320 | 0.0031 | True | True | 0.0514 | 106 | 0.3302 | False | | pretrain_iter_0020000 | 83.9000 | ListComp | 0.5202 | 0.5657 | 0.0455 | 1 | 320 | 0.0031 | True | True | 0.0984 | 60 | 0.1869 | False | | pretrain_iter_0020000 | 83.9000 | NamedExpr | 0.4328 | 0.5067 | 0.0739 | 1 | 320 | 0.0031 | True | True | 0.2088 | 50 | 0.1558 | False | | pretrain_iter_0020000 | 83.9000 | SetComp | 0.6455 | 0.6882 | 0.0427 | 1 | 320 | 0.0031 | True | True | 0.0158 | 201 | 0.6262 | False | | pretrain_iter_0020000 | 83.9000 | Try | 3.4998 | 3.5070 | 0.0072 | 1 | 320 | 0.0031 | True | True | 0.0914 | 1 | 0.0031 | True | | pretrain_iter_0020000 | 83.9000 | While | -0.0649 | -0.0643 | 0.0006 | 288 | 320 | 0.8972 | False | False | 0.0121 | 148 | 0.4611 | False | | pretrain_iter_0020000 | 83.9000 | With | 0.0035 | 0.0132 | 0.0098 | 150 | 320 | 0.4673 | False | False | 0.1500 | 6 | 0.0187 | False | | pretrain_iter_0484865 | 2034.0000 | AsyncFor | -0.2730 | -0.2835 | -0.0105 | 316 | 320 | 0.9844 | False | False | -0.0460 | 226 | 0.7040 | False | | pretrain_iter_0484865 | 2034.0000 | AsyncWith | 0.3663 | 0.4033 | 0.0370 | 1 | 320 | 0.0031 | True | True | 0.1526 | 25 | 0.0779 | False | | pretrain_iter_0484865 | 2034.0000 | DictComp | 0.2644 | 0.3331 | 0.0688 | 7 | 320 | 0.0218 | False | False | 0.2263 | 20 | 0.0623 | False | | pretrain_iter_0484865 | 2034.0000 | For | 0.1034 | 0.1095 | 0.0061 | 13 | 320 | 0.0405 | False | False | 0.0167 | 149 | 0.4642 | False | | pretrain_iter_0484865 | 2034.0000 | GeneratorExp | 0.5488 | 0.5844 | 0.0356 | 1 | 320 | 0.0031 | True | True | 0.4551 | 1 | 0.0031 | True | | pretrain_iter_0484865 | 2034.0000 | If | 0.3496 | 0.3596 | 0.0099 | 1 | 320 | 0.0031 | True | True | -0.0031 | 203 | 0.6324 | False | | pretrain_iter_0484865 | 2034.0000 | IfExp | 1.5807 | 1.6696 | 0.0889 | 1 | 320 | 0.0031 | True | True | 0.8262 | 1 | 0.0031 | True | | pretrain_iter_0484865 | 2034.0000 | Import | 0.4843 | 0.6680 | 0.1837 | 55 | 320 | 0.1713 | False | False | 0.0450 | 208 | 0.6480 | False | | pretrain_iter_0484865 | 2034.0000 | ImportFrom | 0.1083 | 0.3993 | 0.2910 | 144 | 320 | 0.4486 | False | False | 0.1761 | 189 | 0.5888 | False | | pretrain_iter_0484865 | 2034.0000 | Lambda | 4.9917 | 4.9919 | 0.0002 | 1 | 320 | 0.0031 | True | True | 3.5500 | 1 | 0.0031 | True | | pretrain_iter_0484865 | 2034.0000 | ListComp | 0.9592 | 1.0095 | 0.0503 | 1 | 320 | 0.0031 | True | True | 0.1505 | 51 | 0.1589 | False | | pretrain_iter_0484865 | 2034.0000 | NamedExpr | -0.0524 | 0.0688 | 0.1212 | 207 | 320 | 0.6449 | False | False | 0.3687 | 20 | 0.0623 | False | | pretrain_iter_0484865 | 2034.0000 | SetComp | 0.4345 | 0.4836 | 0.0491 | 4 | 320 | 0.0125 | False | False | 0.1687 | 41 | 0.1277 | False | | pretrain_iter_0484865 | 2034.0000 | Try | 5.9537 | 6.0041 | 0.0503 | 1 | 320 | 0.0031 | True | True | 4.1912 | 1 | 0.0031 | True | | pretrain_iter_0484865 | 2034.0000 | While | 0.0802 | 0.1047 | 0.0246 | 33 | 320 | 0.1028 | False | False | 0.2969 | 5 | 0.0156 | False | | pretrain_iter_0484865 | 2034.0000 | With | 0.5484 | 0.5767 | 0.0283 | 1 | 320 | 0.0031 | True | True | -0.1101 | 314 | 0.9782 | False |