framework
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framework:circuits-frameworkCircuits Framework
Mechanistic interpretability framework for understanding neural network computation as circuits of features
Neighborhood — ranked by edge-count
Concepts (1)
concept
- Finite State Automata Feature Assembliesassociated_withCollections of features that interact via the token stream — one feature increases probability of tokens that activate the next feature — forming FSA-like systems
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.
- An open scientific collaboration hosted on Distill slack studying the inner workings of neural networks via zoomed-in mechanistic investigation
- 1984 Ashton-Tate integrated system with frames, FRED language, and overlapping windows; design reference for Playground's approach.
- Prior Anthropic paper enabling circuit-level analysis of attention-only transformers; motivates current MLP decomposition
- Foundational mechanistic interpretability paper on transformer circuit analysis
- Interpretability technique for identifying functional sub-circuits in neural networks, supported by pyvene
- A recurring, abstract pattern found in circuits (e.g., equivariance, unioning over cases), inspired by circuit motifs in systems biology
- Jackson's central framework for understanding software design through concepts as building blocks, their purposes, operational principles, and dependence graphs