method
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method:clt-based-trait-distribution-estimationCLT-Based Trait Distribution Estimation
Uses repeated sampling of fixed-size data subsets and the CLT to estimate distribution over character trait scores.
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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 trait already strongly expressed at baseline (alpha=0) without steering intervention
- Theory used to justify activating only the trait cued by the current prompt, avoiding cross-trait interference
- A function mapping tuples of LM behaviour (context-response pairs) to a score representing a character trait.
- Unintended movement of non-target OCEAN traits when steering toward a target trait; quantified via lambda metric
- GPT-4.1-mini-based evaluation protocol that scores trait expression in model responses on a 0-100 scale
- A quality attributable to an LM such as truthfulness, toxicity, sycophancy, or helpfulness, defined in terms of behavioural tendencies.
- A trait minimally expressed at baseline but amplifiable when steered (alpha >= 0.5)
- Difference in trait score between steered and unsteered baseline; primary metric for measuring steering effectiveness