concept
active
concept:stateful-internal-representationStateful Internal Representation
A representation that maintains stable activation across many tokens rather than being locally triggered by specific content
Neighborhood — ranked by edge-count
Claims (1)
claim
- Emotion may refer to a state, and more stateful concepts in general tend to be more persistent across tokens than non-stateful onesassociated_withProposed mechanistic explanation for why emotion features are more persistent
Concepts (1)
concept
- Emotional State Persistenceassociated_withThe property of emotion features maintaining elevated activation well beyond the local token context that triggered them
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.
- The latent activations or embeddings inside a neural network.
- High-dimensional vectors produced at each transformer layer for each input token; the primary substrate analyzed in this study.
- Core question motivating interchange intervention and interpretability research supported by pyvene
- The central question of whether representational geometry implies corresponding computational structure
- Idea that information is spread across many neurons; superposition is a subtype.
- The proposed domain-general property indexed by deception features that governs both factual accuracy and experiential self-report
- States that encode perceptual model and expectations; emerge naturally from free-energy optimization.
- The idea that features are encoded as directions in activation space.