Grokking in modular addition: a three-stage explanation
A post published on October 4, 2025 describes a paper that presents grokking in modular addition as three stages and proposes an example threshold for generalization.
Published on October 4, 2025, the post summarizes a paper that explains grokking in modular addition as a three-stage process. According to the summary, generalization can emerge with roughly the group size multiplied by the logarithm of the group size in examples; weight decay and moderate width are identified as conditions for feature learning.
The proposal aims to explain the shift from memorization to generalization, but the post does not detail the stages or experimental conditions. To assess the result's scope, consult the post and the paper it describes; check the original for definitions, experiments, and assumptions behind the threshold, and do not treat the estimate as a universal rule.