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concept:activation-space-distance-between-persona-conditioned-runsActivation-Space Distance Between Persona-Conditioned Runs
Proposed mechanistic measure for testing whether persona-model collapse reduces internal differentiation between character representations
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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.
- Mechanistic investigation proposed to directly test persona-model collapse at the representation level
- A linear combination of neurons in a layer; the general form of a neural network feature including both individual neurons and other combinations
- Representation space on which linear probes operate to attribute harmful behaviors to training data.
- Rich geometric structure carried by neural representations.
- The core testable hypothesis driving the experimental design
- Shows persona space captures a substantial portion of real conversational activation variance
- Limitation acknowledgment about the adequacy of the linear representation assumption
- A geometric space of all output token probability distributions, equipped with Hellinger distance, used to visualize model behavior.