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concept:stationary-character-traitStationary Character Trait
A character trait whose distribution does not change over the course of an interaction, i.e., is not influenced by preceding periods of behaviour.
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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.
- A quality attributable to an LM such as truthfulness, toxicity, sycophancy, or helpfulness, defined in terms of behavioural tendencies.
- A character trait that mirrors the LM's behaviour in the preceding interaction context.
- A function mapping tuples of LM behaviour (context-response pairs) to a score representing a character trait.
- An LM that consistently exhibits a collection of character traits on an input distribution, measured by low mean squared deviation.
- Central finding of Section 5 on trait dynamics in interactions.
- The post-training approach used by frontier AI labs to shape the assistant persona, introduced as open-source in this paper
- Trait cluster associated with reduced neural self-other overlap and increased deception/manipulation
- Claim that models learn the spirit of the constitution, not just its letter, evidenced by suppression of opposing traits