method
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method:stationarity-evaluationStationarity Evaluation
Seeds LM with a context period of known trait score, then evaluates response period to check distributional independence.
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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.
- Evaluation setting where the same task stream that drives evolution also serves as the evaluation set, with each task scored under the harness at time of attempt
- Nielsen and Molich's method for finding UI flaws by applying usability heuristics.
- Systematic modification of system prompt elements to identify which are necessary for alignment faking
- A specific signal (Wood Labs) embedded in evaluation environments that the model organism uses to reliably identify testing contexts.
- nostalgebraist's term for measuring performance when the model is incentivised to perform well.
- Requirement that answers to questions be responsive as well as truthful; requires knowing that questioner will know the answer after receiving it.