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method:contrastive-persona-vector-extraction-protocolContrastive Persona Vector Extraction Protocol
Named procedure for extracting persona vectors from mean residual-stream activation differences between trait-expressing and non-expressing responses
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Papers (1)
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Methods (2)
method
- The paper's core automated pipeline that takes a trait name and description as input and outputs a corresponding persona vector via contrastive prompting
- Method of extracting persona vectors by contrasting activations when model is prompted to exhibit vs suppress a trait
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.
- Core method for extracting persona vectors by contrasting mean activations under persona-eliciting vs. suppressing prompts
- Method for obtaining concept vectors by subtracting activations from two contrasting prompts.
- The paper's reframing: persona vectors read as signals of internal model organization rather than as behavioral controls
- Pipeline for extracting mean post-MLP residual stream activations from model responses under persona-specific system prompts to produce role vectors
- A linear direction in a language model's activation space that encodes a specific personality trait, enabling monitoring and control of that trait
- Prior framework for monitoring and controlling character traits in LLMs via activation directions; this paper extends it to 275 roles
- Specific attention layer where persona representations undergo sharp directional shift and stabilize, identified via cosine similarity heatmaps
- Compositional combination of persona vectors via algebraic operations on activation directions