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method:representational-dissimilarity-matrix-rdmRepresentational Dissimilarity Matrix (RDM)
Pairwise dissimilarity matrix used in RSA computations; constructed using cosine distance between neural 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.
- CIMC's characterization of part of the solution to the Hard Problem: insight into the structural necessities of phenomenal representation
- A correlational similarity method compared against MAS; uses RDM correlations between model representations.
- Demonstrates RSA's sensitivity issue in embedding layers; attributed partly to Spearman rank handling of RDMs with differing relative extrema.
- Distance between prior and target representations.
- Core phenomenon studied: when causal interventions shift internal representations away from the natural distribution
- The evolution of an agent's latent representations over the course of training, shown to align with reward improvement when causal emergence is high.
- Motivates the RN hypothesis by pointing to the unknown relational structure within high-dimensional representation vectors.
- Author’s interpretive claim that the shared geometry is general and robust.