Alternatives and similar repositories for switch_sae

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

• katiekang1998 / reasoning_generalization
  ☆34Updated 7 months ago
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆192Updated last year
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆77Updated 9 months ago
• JacobPfau / fillerTokens
  ☆72Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆124Updated 2 months ago
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆89Updated 9 months ago
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆88Updated last year
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆90Updated 9 months ago
• RobertCsordas / moeut
  ☆85Updated last year
• ScalingIntelligence / large_language_monkeys
  ☆103Updated 11 months ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆103Updated 3 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆82Updated 10 months ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆30Updated last year
• ScalingIntelligence / Archon
  Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.
  ☆179Updated 5 months ago
• sher222 / LeReT
  Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
  ☆49Updated 10 months ago
• xpq-tech / PMET
  This is a repository for "PMET: Precise Model Editing in a Transformer"
  ☆53Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 5 months ago
• goodfire-ai / r1-interpretability
  Open source interpretability artefacts for R1.
  ☆157Updated 4 months ago
• METR / RE-Bench
  ☆98Updated 4 months ago
• mcleish7 / gemstone-scaling-laws
  ☆28Updated 6 months ago
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆89Updated 6 months ago
• EleutherAI / delphi
  Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …
  ☆207Updated this week
• GXimingLu / IPA
  Codebase for Inference-Time Policy Adapters
  ☆24Updated last year
• sail-sg / VeriFree
  Reinforcing General Reasoning without Verifiers
  ☆80Updated 2 months ago
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• KihoPark / LLM_Categorical_Hierarchical_Representations
  ☆106Updated 6 months ago
• data-for-agents / insta
  Official Repo for InSTA: Towards Internet-Scale Training For Agents
  ☆55Updated last month
• likenneth / q_probe
  Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
  ☆41Updated last year
• ml-jku / EVA
  One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
  ☆41Updated 10 months ago