method
active
method:contrastive-concept-vector-extractionContrastive concept vector extraction
Method for obtaining concept vectors by subtracting activations from two contrasting prompts.
Neighborhood — ranked by edge-count
Methods (1)
method
- Activation SteeringimplementsCausal intervention technique: edit NLA explanation, reconstruct via AR, use difference as steering vector to manipulate model behavior.
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.
- Method using activations from the prompt 'Tell me about {word}' minus mean over other random words to obtain concept vectors.
- Computed directional vector in activation space representing a specific concept, used for injection experiments
- Procedure extracting concept vectors as difference of mean activations between concept-exemplifying and baseline/negative sentences
- Method comparing brain activity in conscious vs. unconscious conditions.
- Method for computing steering vectors as mean activation differences between reflection levels at a given layer.
- Pipeline for extracting mean post-MLP residual stream activations from model responses under persona-specific system prompts to produce role vectors
- A pipeline employing controlled semantic oppositions to distill monosemantic functional features from sparse activation spaces.
- How a neural network encodes a semantic concept internally, argued to be better captured by manifolds than by atomic features.