danielmamay / grokkingLinks
Implementation of OpenAI's 'Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets' paper.
☆41Updated 2 years ago
Alternatives and similar repositories for grokking
Users that are interested in grokking are comparing it to the libraries listed below
Sorting:
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆83Updated 3 years ago
- Omnigrok: Grokking Beyond Algorithmic Data☆62Updated 2 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated last year
- ☆31Updated 9 months ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆198Updated last year
- ☆53Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆136Updated last year
- A centralized place for deep thinking code and experiments☆89Updated 2 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆20Updated last year
- Evaluation of neuro-symbolic engines☆41Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆185Updated 6 months ago
- ☆74Updated 3 years ago
- Sparse Autoencoder Training Library☆56Updated 8 months ago
- nanoGPT-like codebase for LLM training☆114Updated 2 months ago
- Universal Neurons in GPT2 Language Models☆31Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆87Updated last year
- ☆167Updated 2 years ago
- AlgoTune is a NeurIPS 2025 benchmark made up of 154 math, physics, and computer science problems. The goal is write code that solves each…☆85Updated this week
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆63Updated 2 years ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- ☆28Updated 2 years ago
- ☆45Updated 2 years ago
- ☆82Updated last year
- Sparse and discrete interpretability tool for neural networks☆64Updated last year
- ☆84Updated 2 years ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆132Updated 3 years ago
- Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State☆20Updated 2 months ago
- ☆52Updated last month
- Mixture of A Million Experts☆52Updated last year
- ☆56Updated last year