method
active
method:cosine-similarity-measurementCosine Similarity Measurement
Used to measure alignment between DIM direction and cone basis vectors to assess overlap
Neighborhood — ranked by edge-count
Methods (1)
method
- Pairwise Cosine Similarity Analysisrelated_toUsed to quantify the semantic clustering of adjective-set embeddings across model families and conditions
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.
- Detection mechanism computing cosine similarity between activation vectors and steering vectors to classify deception
- Classifier using cosine similarity between activation vectors and steering vectors to detect deception with 89% accuracy
- Geometric evaluation of truth direction alignment across layers and prompt templates.
- Geometric analysis tracking how persona vector directions evolve across transformer layers to identify the transition layer
- Method to discover new reflection-inducing instructions by ranking candidate tokens by cosine similarity to steering vectors.
- Cosine similarity between feature activations restricted to tokens where one of the features fires; used to identify feature splitting relationships
- Geometric measure used to track persona vector drift and stability across checkpoints
- Confirms that head importance is driven by direction, not just output norm magnitude