concept
active
concept:functional-similarity

Functional Similarity

Similarity measured with respect to network behavior/function rather than statistical correlation of activations.

Neighborhood — ranked by edge-count

Frameworks (2)

framework
  • The 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.
  • A correlational similarity method compared against MAS; uses RDM correlations between model representations.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities 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.
  • Functional closureconcept0.791
    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.