Minimal Circuit Description

Hypothesis that discretization finds minimum-size circuits equivalent to minimal algorithmic descriptions of patterns

Neighborhood — ranked by edge-count

concept

Boundary-Size Invariance
associated_with
Property where a rule learned on fixed-size grid generalizes to larger grids, observed in checkerboard and lizard experiments

finding

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.

Sparse circuitsconcept0.798
A goal in mechanistic interpretability to identify sparse computational subgraphs; VPD promotes sparse parameter circuits.
Minimum Description Lengthframework0.789
Related to variational free energy; compressibility corresponds to complexity reduction in structure learning
Circuit Motifconcept0.771
A recurring, abstract pattern found in circuits (e.g., equivariance, unioning over cases), inspired by circuit motifs in systems biology
Minimal Developmental Computationframework0.767
Discretization and minimal circuit size may be finding some minimal procedural description (analogous to algorithmic complexity) for generating patterns of interesthypothesis0.767
Hypothesis raised by the 5-gate checkerboard solution and its grid-size invariance
Minimal Cognitionconcept0.762
Field studying evolutionary origins of cognitive capacities in bacteria, slime moulds, plants, tissues; demonstrates sentience need not require high-order reflection.
Could the discretization and minimal circuit size be finding some minimal procedural description for generating patterns of interest?question0.755
Open question raised by the 5-gate checkerboard solution and its generalization properties
Circuit Findingmethod0.748
Interpretability technique for identifying functional sub-circuits in neural networks, supported by pyvene