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concept:concentration-parameters

Concentration Parameters

Sufficient statistics of Dirichlet priors over likelihood; accumulate as experience is gained; analogous to synaptic efficacy

Neighborhood — ranked by edge-count

Concepts (3)

concept
  • Biological mechanism of sleep-dependent synapse elimination; analogous to Bayesian model reduction removing redundant parameters
  • Dirichlet Distribution
    associated_with
    Conjugate prior for categorical variables; used for beliefs about likelihood matrix A.
  • High-dimensional array mapping hidden states to outcomes; key learned quantity in the paradigm

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 inverse precision (γ = 1/β) that scales the influence of expected free energy on policy selection, controlling exploration-exploitation balance.
  • Gold standard value (e.g., nucleus sampling p-value) used as ground truth for evaluating diversity metrics
  • Primary metric for identifying stages of inference via normalized entropy of column sums of attention matrices
  • The extremely sparse (~3%) set of parameters governing safety alignment, consistent with its ease of disruption by fine-tuning
  • Parameter specific to each task, e.g., task head.
  • Core mechanism across all three levels; inverse variance controlling how much the system trusts evidence at each hierarchical level.
  • Accuracy Criterionconcept0.692
    Criterion requiring that model's description of internal state be accurate, distinguishing genuine introspection from confabulation.