AI RESEARCH

Model Capacity Determines Grokking through Competing Memorisation and Generalisation Speeds

arXiv CS.LG

ArXi:2605.09724v1 Announce Type: new Existing accounts of grokking explain the phenomena in terms of mechanistic frameworks such as circuit efficiency or lazy-to-rich transitions. However, despite a known dependence between grokking and model size, how model capacity shapes grokking remains an open question. We give an information-theoretic account of this relationship on the task of modular arithmetic, showing that grokking does not immediately occur when a model becomes large enough to memorise the