Diagnosing Correctness Probes under Self-Judgement Confounding
- URL: http://arxiv.org/abs/2607.16799v1
- Date: Sat, 18 Jul 2026 12:45:49 GMT
- Title: Diagnosing Correctness Probes under Self-Judgement Confounding
- Abstract summary: Hidden-state readouts can predict whether language-model outputs are correct, but objective correctness (OC) usually agrees with the model's own self-judgement ( SJ)<n>We construct conflict cases in which OC and SJ predict opposite readout orderings.<n>We estimate factorial SJ- and OC-associated directions and evaluate their polarity across mathematical reasoning and factual recall.
- Score: 1.2691047660244335
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Hidden-state readouts can predict whether language-model outputs are correct, but objective correctness (OC) usually agrees with the model's own self-judgement (SJ), leaving the decoded signal semantically ambiguous. We construct conflict cases in which OC and SJ predict opposite readout orderings. On high-confidence disagreements, conventional correctness-labelled contrasts often rank incorrect/self-endorsed responses above correct/self-rejected responses, following SJ rather than OC. We estimate factorial SJ- and OC-associated directions and evaluate their polarity across mathematical reasoning and factual recall. Across four instruction-tuned models up to 14B parameters, the SJ-associated direction transfers above chance in both cross-domain directions for every model, whereas the OC-associated direction has a below-chance point estimate for the expected OC ordering in every corresponding condition. This transfer asymmetry develops across middle-to-late layers, persists under answer-likelihood, sequence-length, and null-direction controls, and extends to MMLU and binary TruthfulQA without target-domain direction fitting. Across the studied models and diagnostic subsets, the most reliably transferable component preserves SJ-associated polarity. Transferability alone therefore does not establish objective-correctness semantics.
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