concept
active
concept:functional-similarityFunctional Similarity
Similarity measured with respect to network behavior/function rather than statistical correlation of activations.
Neighborhood — ranked by edge-count
Frameworks (2)
framework
- Model Alignment Search (MAS)implementsThe primary contribution of the paper: a bidirectional causal method that learns rotation matrices for each model to uncover and compare causally relevant latent subspaces across neural networks.
- Representational Similarity Analysis (RSA)associated_withA correlational similarity method compared against MAS; uses RDM correlations between model representations.
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 deep fit between a building's form and its functional requirements, achieved only through differentiation.
- Flusser’s category of complexity where a system provides a complex use (like chess), enabling creative plays.
- One of the three major competing approaches to parallel programming mentioned in the paper; used for comparison with Linda.
- The property of a subsystem that cannot influence others; used to lesion systems in simulations.
- Model-independent feature comparison based on correlating activation vectors across a fixed diverse dataset
- Correlating attribution vectors (feature activation × logit weight of next token) across model pairs to measure functional universality
- Empirical effect where intervening on one feature induces coherent shifts across multiple linguistic dimensions aligned with the target attribute.