claim
active
claim:random-word-prefix-prompts-show-emergence-patterns-similar-to-no-prompt-suggesting-prompt-length-alone-does-not-shift-truth-geometryRandom word prefix prompts show emergence patterns similar to no-prompt, suggesting prompt length alone does not shift truth geometry.
Control experiment ruling out token-count as the cause of truth geometry shifts.
Source paper
extracted_from(2026) · Angelos Poulis · Mark Crovella · Evimaria Terzi
Neighborhood — ranked by edge-count
Claims (1)
claim
- Supported by the neutral read-prompt changing emergence but not fully replicating ask-correct cross-task generalization.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Control prompt with random words of same length as ask-correct to isolate token-count confounds.
- From the cross-task generalization heatmaps in Appendix B.3.3.
- Suggestive evidence for language-independent truth representation in LLMs
- Unexpected finding that behavioral baseline underperforms representational probing approaches
- Specific question motivating the cross-template generalization experiment in Section 5.2.
- Explanation for the 'silent' thought phenomenon.
- Generalization evidence that truth probes are not invariant to model instructions.
- Claim about engineering constraint reinforcing the theoretical no-order result