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concept:weak-to-strong-generalizationWeak-to-Strong Generalization
Proposed approach to elicit strong model capabilities with a weak supervisor, raised as related context for reward hacking risks
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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.
- Ability to apply learned solutions to novel circumstances.
- Ability to respond appropriately to novel situations based on past regularities; fundamental to learning and intelligence.
- The ability to generalize across tasks; lacking in latent methods.
- Phenomenon where fine-tuning shifts behavior on tasks unrelated to training data, framed through personas
- Abstracting from specific memories (e.g., specific leaves) to general lessons (food).
- Generalization from 2-digit to 3-4 digit arithmetic; limited by mismatch dr.
- Measuring AUROC of a probe trained on one task when evaluated on another task to assess universality.
- The broader phenomenon of misaligned behaviors generalizing beyond the fine-tuning distribution