"More Is Different" in neural circuits: compositionality as a lens for interpretability
neurovium · x · 2026-10-30
An explainer of the paper "More Is Different" in Neural Circuits centers on compositionality: the idea that neural networks could be built from simpler modules like Lego pieces. That would let you "program" a neural net — or, given a big network, tease it apart into its operational motifs. The author frames algebraic decomposition as a promising window into interpretability.
Related event: Paper Uses Algebra to Show Emergent Structure in Combined Neural Circuits(2 posts)→
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