Alternatives and similar repositories for grokking

Users that are interested in grokking are comparing it to the libraries listed below

• genlm / llamppl
  Probabilistic programming with large language models
  ☆136Updated 2 months ago
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆216Updated last year
• Prisma-Multimodal / ViT-Prisma
  ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).
  ☆309Updated 2 months ago
• timaeus-research / devinterp
  Tools for studying developmental interpretability in neural networks.
  ☆103Updated 3 months ago
• saprmarks / dictionary_learning
  ☆345Updated last month
• neoneye / arc-notes
  My writings about ARC (Abstraction and Reasoning Corpus)
  ☆84Updated 3 weeks ago
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆173Updated 2 years ago
• Xmaster6y / lczerolens
  🔬 Interpretability for Leela Chess Zero networks.
  ☆16Updated 3 weeks ago
• AutoResearch / autora
  Automated Research Assistant
  ☆63Updated this week
• inria-thoth / mlxp
  A framework for conducting machine learning experiments in python
  ☆41Updated 9 months ago
• michaelhodel / re-arc
  Reverse Engineering the Abstraction and Reasoning Corpus
  ☆305Updated 7 months ago
• TransformerLensOrg / CircuitsVis
  Mechanistic Interpretability Visualizations using React
  ☆289Updated 9 months ago
• apartresearch / interpretability-starter
  🧠 Starter templates for doing interpretability research
  ☆74Updated 2 years ago
• ai-safety-foundation / sparse_autoencoder
  Sparse Autoencoder for Mechanistic Interpretability
  ☆267Updated last year
• callummcdougall / ARENA_2.0
  Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
  ☆227Updated last month
• jessicarumbelow / Backwards
  ☆83Updated last year
• serre-lab / Lens
  LENS Project
  ☆50Updated last year
• ellisk42 / humanlike_fewshot_learning
  ☆30Updated last year
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆372Updated this week
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆220Updated 9 months ago
• stanfordnlp / pyvene
  Stanford NLP Python library for understanding and improving PyTorch models via interventions
  ☆810Updated 3 weeks ago
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆268Updated last week
• sambowyer / bayes_evals
  A lightweight library for Bayesian analysis of LLM evals (ICML 2025 Spotlight Position Paper)
  ☆21Updated 3 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• neelnanda-io / 1L-Sparse-Autoencoder
  ☆127Updated last year
• google-deepmind / tracr
  ☆546Updated last year
• keyonvafa / world-model-evaluation
  ☆65Updated 10 months ago
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆129Updated 3 years ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆103Updated 2 months ago
• ArthurConmy / Automatic-Circuit-Discovery
  ☆242Updated 11 months ago