AI RESEARCH
The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology
arXiv CS.AI
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ArXi:2603.05228v2 Announce Type: replace-cross Mechanistic interpretability typically relies on post-hoc analysis of trained networks. We instead adopt an interventional approach: testing hypotheses a priori by modifying architectural topology to observe