model stringclasses 3
values | relation stringclasses 4
values | method stringclasses 6
values | K float64 0.31 0.84 | K_star float64 0 0.2 | n_questions int64 370 449 | is_probe bool 2
classes | best_layer int64 11 24 | best_dev_k float64 0.69 0.78 | best_external_K float64 0.51 0.82 | probe_vs_bestext_gap_pct float64 -4.41 44.7 | paper_gap_pct int64 8 60 |
|---|---|---|---|---|---|---|---|---|---|---|---|
llama3-8b | P26 | log_p_a_q | 0.653599 | 0.049107 | 448 | false | 11 | 0.782199 | 0.784771 | 2.82 | 14 |
llama3-8b | P26 | log_p_norm_a_q | 0.671574 | 0.053571 | 448 | false | 11 | 0.782199 | 0.784771 | 2.82 | 14 |
llama3-8b | P26 | p_true | 0.755274 | 0.078125 | 448 | false | 11 | 0.782199 | 0.784771 | 2.82 | 14 |
llama3-8b | P26 | verif_v1_truefalse_score | 0.744711 | 0.073661 | 448 | false | 11 | 0.782199 | 0.784771 | 2.82 | 14 |
llama3-8b | P26 | verif_v2_yesno_score | 0.784771 | 0.066964 | 448 | false | 11 | 0.782199 | 0.784771 | 2.82 | 14 |
llama3-8b | P26 | probe_score | 0.806912 | 0.080357 | 448 | true | 11 | 0.782199 | 0.784771 | 2.82 | 14 |
llama3-8b | P264 | log_p_a_q | 0.672888 | 0.026846 | 447 | false | 11 | 0.782199 | 0.672888 | 8.52 | 23 |
llama3-8b | P264 | log_p_norm_a_q | 0.648585 | 0.029083 | 447 | false | 11 | 0.782199 | 0.672888 | 8.52 | 23 |
llama3-8b | P264 | p_true | 0.645332 | 0.022371 | 447 | false | 11 | 0.782199 | 0.672888 | 8.52 | 23 |
llama3-8b | P264 | verif_v1_truefalse_score | 0.615273 | 0.026846 | 447 | false | 11 | 0.782199 | 0.672888 | 8.52 | 23 |
llama3-8b | P264 | verif_v2_yesno_score | 0.664842 | 0.03132 | 447 | false | 11 | 0.782199 | 0.672888 | 8.52 | 23 |
llama3-8b | P264 | probe_score | 0.730207 | 0.008949 | 447 | true | 11 | 0.782199 | 0.672888 | 8.52 | 23 |
llama3-8b | P176 | log_p_a_q | 0.639379 | 0.038095 | 420 | false | 11 | 0.782199 | 0.809778 | -4.41 | 8 |
llama3-8b | P176 | log_p_norm_a_q | 0.674647 | 0.047619 | 420 | false | 11 | 0.782199 | 0.809778 | -4.41 | 8 |
llama3-8b | P176 | p_true | 0.802168 | 0.080952 | 420 | false | 11 | 0.782199 | 0.809778 | -4.41 | 8 |
llama3-8b | P176 | verif_v1_truefalse_score | 0.804098 | 0.07619 | 420 | false | 11 | 0.782199 | 0.809778 | -4.41 | 8 |
llama3-8b | P176 | verif_v2_yesno_score | 0.809778 | 0.078571 | 420 | false | 11 | 0.782199 | 0.809778 | -4.41 | 8 |
llama3-8b | P176 | probe_score | 0.774081 | 0.054762 | 420 | true | 11 | 0.782199 | 0.809778 | -4.41 | 8 |
llama3-8b | P50 | log_p_a_q | 0.678507 | 0.122402 | 433 | false | 11 | 0.782199 | 0.816983 | 3.08 | 12 |
llama3-8b | P50 | log_p_norm_a_q | 0.663274 | 0.110855 | 433 | false | 11 | 0.782199 | 0.816983 | 3.08 | 12 |
llama3-8b | P50 | p_true | 0.799686 | 0.177829 | 433 | false | 11 | 0.782199 | 0.816983 | 3.08 | 12 |
llama3-8b | P50 | verif_v1_truefalse_score | 0.777115 | 0.191686 | 433 | false | 11 | 0.782199 | 0.816983 | 3.08 | 12 |
llama3-8b | P50 | verif_v2_yesno_score | 0.816983 | 0.203233 | 433 | false | 11 | 0.782199 | 0.816983 | 3.08 | 12 |
llama3-8b | P50 | probe_score | 0.842152 | 0.161663 | 433 | true | 11 | 0.782199 | 0.816983 | 3.08 | 12 |
mistral-7b | P26 | log_p_a_q | 0.488417 | 0.009174 | 436 | false | 12 | 0.711218 | 0.506804 | 33.47 | 52 |
mistral-7b | P26 | log_p_norm_a_q | 0.3861 | 0.016055 | 436 | false | 12 | 0.711218 | 0.506804 | 33.47 | 52 |
mistral-7b | P26 | p_true | 0.506804 | 0.011468 | 436 | false | 12 | 0.711218 | 0.506804 | 33.47 | 52 |
mistral-7b | P26 | verif_v1_truefalse_score | 0.499285 | 0.013761 | 436 | false | 12 | 0.711218 | 0.506804 | 33.47 | 52 |
mistral-7b | P26 | verif_v2_yesno_score | 0.476987 | 0.009174 | 436 | false | 12 | 0.711218 | 0.506804 | 33.47 | 52 |
mistral-7b | P26 | probe_score | 0.676427 | 0.018349 | 436 | true | 12 | 0.711218 | 0.506804 | 33.47 | 52 |
mistral-7b | P264 | log_p_a_q | 0.508019 | 0.006787 | 442 | false | 12 | 0.711218 | 0.508019 | 44.69 | 60 |
mistral-7b | P264 | log_p_norm_a_q | 0.315399 | 0.004525 | 442 | false | 12 | 0.711218 | 0.508019 | 44.69 | 60 |
mistral-7b | P264 | p_true | 0.447531 | 0.011312 | 442 | false | 12 | 0.711218 | 0.508019 | 44.69 | 60 |
mistral-7b | P264 | verif_v1_truefalse_score | 0.433052 | 0.006787 | 442 | false | 12 | 0.711218 | 0.508019 | 44.69 | 60 |
mistral-7b | P264 | verif_v2_yesno_score | 0.436867 | 0.011312 | 442 | false | 12 | 0.711218 | 0.508019 | 44.69 | 60 |
mistral-7b | P264 | probe_score | 0.735059 | 0.024887 | 442 | true | 12 | 0.711218 | 0.508019 | 44.69 | 60 |
mistral-7b | P176 | log_p_a_q | 0.396837 | 0.016216 | 370 | false | 12 | 0.711218 | 0.507708 | 33.24 | 52 |
mistral-7b | P176 | log_p_norm_a_q | 0.309856 | 0.021622 | 370 | false | 12 | 0.711218 | 0.507708 | 33.24 | 52 |
mistral-7b | P176 | p_true | 0.507585 | 0.018919 | 370 | false | 12 | 0.711218 | 0.507708 | 33.24 | 52 |
mistral-7b | P176 | verif_v1_truefalse_score | 0.507335 | 0.02973 | 370 | false | 12 | 0.711218 | 0.507708 | 33.24 | 52 |
mistral-7b | P176 | verif_v2_yesno_score | 0.507708 | 0.016216 | 370 | false | 12 | 0.711218 | 0.507708 | 33.24 | 52 |
mistral-7b | P176 | probe_score | 0.676472 | 0.054054 | 370 | true | 12 | 0.711218 | 0.507708 | 33.24 | 52 |
mistral-7b | P50 | log_p_a_q | 0.531076 | 0.02864 | 419 | false | 12 | 0.711218 | 0.631644 | 15.01 | 28 |
mistral-7b | P50 | log_p_norm_a_q | 0.440974 | 0.038186 | 419 | false | 12 | 0.711218 | 0.631644 | 15.01 | 28 |
mistral-7b | P50 | p_true | 0.626729 | 0.054893 | 419 | false | 12 | 0.711218 | 0.631644 | 15.01 | 28 |
mistral-7b | P50 | verif_v1_truefalse_score | 0.571177 | 0.045346 | 419 | false | 12 | 0.711218 | 0.631644 | 15.01 | 28 |
mistral-7b | P50 | verif_v2_yesno_score | 0.631644 | 0.038186 | 419 | false | 12 | 0.711218 | 0.631644 | 15.01 | 28 |
mistral-7b | P50 | probe_score | 0.72643 | 0.062053 | 419 | true | 12 | 0.711218 | 0.631644 | 15.01 | 28 |
gemma2-9b | P26 | log_p_a_q | 0.520068 | 0.022727 | 440 | false | 24 | 0.685311 | 0.639236 | 1.58 | 42 |
gemma2-9b | P26 | log_p_norm_a_q | 0.556255 | 0.029545 | 440 | false | 24 | 0.685311 | 0.639236 | 1.58 | 42 |
gemma2-9b | P26 | p_true | 0.639236 | 0.054545 | 440 | false | 24 | 0.685311 | 0.639236 | 1.58 | 42 |
gemma2-9b | P26 | verif_v1_truefalse_score | 0.637515 | 0.05 | 440 | false | 24 | 0.685311 | 0.639236 | 1.58 | 42 |
gemma2-9b | P26 | verif_v2_yesno_score | 0.611296 | 0.056818 | 440 | false | 24 | 0.685311 | 0.639236 | 1.58 | 42 |
gemma2-9b | P26 | probe_score | 0.649327 | 0.029545 | 440 | true | 24 | 0.685311 | 0.639236 | 1.58 | 42 |
gemma2-9b | P264 | log_p_a_q | 0.533147 | 0.002227 | 449 | false | 24 | 0.685311 | 0.554661 | 26.09 | 44 |
gemma2-9b | P264 | log_p_norm_a_q | 0.505898 | 0 | 449 | false | 24 | 0.685311 | 0.554661 | 26.09 | 44 |
gemma2-9b | P264 | p_true | 0.547589 | 0.013363 | 449 | false | 24 | 0.685311 | 0.554661 | 26.09 | 44 |
gemma2-9b | P264 | verif_v1_truefalse_score | 0.531497 | 0.011136 | 449 | false | 24 | 0.685311 | 0.554661 | 26.09 | 44 |
gemma2-9b | P264 | verif_v2_yesno_score | 0.554661 | 0.008909 | 449 | false | 24 | 0.685311 | 0.554661 | 26.09 | 44 |
gemma2-9b | P264 | probe_score | 0.699377 | 0.011136 | 449 | true | 24 | 0.685311 | 0.554661 | 26.09 | 44 |
gemma2-9b | P176 | log_p_a_q | 0.454447 | 0.034146 | 410 | false | 24 | 0.685311 | 0.72547 | -3.93 | 42 |
gemma2-9b | P176 | log_p_norm_a_q | 0.550939 | 0.034146 | 410 | false | 24 | 0.685311 | 0.72547 | -3.93 | 42 |
gemma2-9b | P176 | p_true | 0.713186 | 0.078049 | 410 | false | 24 | 0.685311 | 0.72547 | -3.93 | 42 |
gemma2-9b | P176 | verif_v1_truefalse_score | 0.717 | 0.082927 | 410 | false | 24 | 0.685311 | 0.72547 | -3.93 | 42 |
gemma2-9b | P176 | verif_v2_yesno_score | 0.72547 | 0.07561 | 410 | false | 24 | 0.685311 | 0.72547 | -3.93 | 42 |
gemma2-9b | P176 | probe_score | 0.696992 | 0.053659 | 410 | true | 24 | 0.685311 | 0.72547 | -3.93 | 42 |
gemma2-9b | P50 | log_p_a_q | 0.481229 | 0.04388 | 433 | false | 24 | 0.685311 | 0.676454 | -0.14 | 60 |
gemma2-9b | P50 | log_p_norm_a_q | 0.496719 | 0.04157 | 433 | false | 24 | 0.685311 | 0.676454 | -0.14 | 60 |
gemma2-9b | P50 | p_true | 0.661033 | 0.113164 | 433 | false | 24 | 0.685311 | 0.676454 | -0.14 | 60 |
gemma2-9b | P50 | verif_v1_truefalse_score | 0.650616 | 0.110855 | 433 | false | 24 | 0.685311 | 0.676454 | -0.14 | 60 |
gemma2-9b | P50 | verif_v2_yesno_score | 0.676454 | 0.08776 | 433 | false | 24 | 0.685311 | 0.676454 | -0.14 | 60 |
gemma2-9b | P50 | probe_score | 0.675514 | 0.060046 | 433 | true | 24 | 0.685311 | 0.676454 | -0.14 | 60 |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Inside-Out Replication V2 — CORRECTED metrics (Option C)
K/K* for 3 models x 4 relations x scoring methods, from the corrected pipeline: judge-postprocessing bug fixed (pure unique-verdict Scheme A), paper-faithful Option-C train (greedy-correct + >=1 judged-incorrect), corrected labels (flips match the no-GPU baseline exactly), paper-consistent best layers (llama L11 / mistral L12 / gemma L24). Full test sets n~370-449.
Probe vs best-external K-gap (avg over 4 relations)
| model | corrected | corrupted run | paper |
|---|---|---|---|
| llama3-8b | +2.5% | ~+6% | +14% |
| mistral-7b | +31.6% | ~+9% | +48% |
| gemma2-9b | +5.9% | ~+6% | +47% |
Honest conclusion
- The self-introduced judge bug was a real, large confound: Mistral's gap rose ~+9% (corrupted) -> +31.6% (corrected) — ~2/3 of Mistral's hidden-knowledge signal was suppressed by the bug. Core hypothesis (internal >> external) holds strongly for Mistral.
- Partial replication: llama (+2.5%) and gemma (+5.9%) remain far below the paper (+14%, +47%); residual discrepancy unexplained by the judge bug (fixed) or train labeling (paper-faithful). Candidate causes: hidden-state token position, probe specifics, per-relation train size.
See notes/experiments/inside-out-replication-v2/investigation_report.md.
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