method
active
method:circuit-finding

Circuit Finding

Interpretability technique for identifying functional sub-circuits in neural networks, supported by pyvene

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.

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    Fine-grained approach to identifying specific network components responsible for reflection, mentioned as future direction.
  • Circuits Threadframework0.801
    An open scientific collaboration hosted on Distill slack studying the inner workings of neural networks via zoomed-in mechanistic investigation
  • Circuits Frameworkframework0.786
    Mechanistic interpretability framework for understanding neural network computation as circuits of features
  • Sparse circuitsconcept0.776
    A goal in mechanistic interpretability to identify sparse computational subgraphs; VPD promotes sparse parameter circuits.
  • Advantage of DiffLogic CA over NCA — learned rules are pure binary logic circuits that can be visualized and analyzed
  • Interactive tool for visualizing and inspecting learned binary logic circuits using modified DigitalJS library
  • Circuit Motifconcept0.762
    A recurring, abstract pattern found in circuits (e.g., equivariance, unioning over cases), inspired by circuit motifs in systems biology
  • Reading a meaningful algorithm directly off of the weights linking neurons in a circuit