method
active
method:token-100-correlation-persistence-metric

Token-100 correlation persistence metric

Measures emotion feature persistence as correlation between z-scored activation at token 0 and token 100 across all eligible target model tokens

Neighborhood — ranked by edge-count

Concepts (1)

concept
  • The property of emotion features maintaining elevated activation well beyond the local token context that triggered them

Datasets (1)

dataset
  • Dataset of 240 multi-turn conversations per model between target models and Claude Sonnet 4.5 as simulated human, used to measure probe persistence

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.