Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition

Mohamad Amin Mohamadi, Zhiyuan Li, Lei Wu, Danica J. Sutherland
2/12/2026

No confident code implementation found for this paper. 2 possible matches can be shown below.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations

100% match1 repo52026

AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems

96% match2026

Cocktail Universal Adversarial Attack on Deep Neural Networks

96% match2026

Accelerated Speculative Sampling Based on Tree Monte Carlo

96% match2026

Learned Lossless Image Compression Based on Bit Plane Slicing

96% match2026

Durable Quantization Conditioned Misalignment Attack on Large Language Models

96% match2026

Cite this paper

@article{mohamadi2026grok,
  title  = {Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition},
  author = {Mohamad Amin Mohamadi and Zhiyuan Li and Lei Wu and Danica J. Sutherland},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:24541f7b953aa3ca52e53f146aae6ce8b081e3d2},
  journal = {ICML 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/24541f7b953aa3ca52e53f146aae6ce8b081e3d2.svg)](https://codeofpaper.com/paper/24541f7b953aa3ca52e53f146aae6ce8b081e3d2)

Discussion