Sea-Snell / grokkingLinks
unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
☆78Updated 3 years ago
Alternatives and similar repositories for grokking
Users that are interested in grokking are comparing it to the libraries listed below
Sorting:
- Implementation of OpenAI's 'Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets' paper.☆39Updated last year
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆129Updated 2 years ago
- ☆26Updated 2 years ago
- ☆184Updated last year
- ☆68Updated 2 years ago
- Emergent world representations: Exploring a sequence model trained on a synthetic task☆188Updated 2 years ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆37Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- Neural Networks and the Chomsky Hierarchy☆208Updated last year
- Omnigrok: Grokking Beyond Algorithmic Data☆61Updated 2 years ago
- ☆83Updated last year
- ☆238Updated last year
- ☆26Updated 2 years ago
- nanoGPT-like codebase for LLM training☆102Updated 3 months ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- Sparse Autoencoder Training Library☆54Updated 3 months ago
- Universal Neurons in GPT2 Language Models☆30Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 9 months ago
- ☆166Updated 2 years ago
- Scaling scaling laws with board games.☆53Updated 2 years ago
- [NeurIPS 2023] Learning Transformer Programs☆163Updated last year
- LoRA for arbitrary JAX models and functions☆142Updated last year
- ☆122Updated last year
- Mechanistic Interpretability for Transformer Models☆51Updated 3 years ago
- A centralized place for deep thinking code and experiments☆86Updated 2 years ago
- ☆103Updated 6 months ago
- ☆30Updated 5 months ago