Alternatives and similar repositories for LoRA-Models-for-SAEs

Users that are interested in LoRA-Models-for-SAEs are comparing it to the libraries listed below

• formll / resolving-scaling-law-discrepancies
  ☆19Updated 10 months ago
• mcleish7 / gemstone-scaling-laws
  ☆25Updated 3 months ago
• katiekang1998 / reasoning_generalization
  ☆32Updated 4 months ago
• jiahai-feng / binding-iclr
  ☆14Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆24Updated 5 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆41Updated 3 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 4 months ago
• ZhentingWang / DUMP
  ☆19Updated 3 weeks ago
• limenlp / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆34Updated 8 months ago
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆26Updated 7 months ago
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆32Updated 2 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆87Updated 6 months ago
• mandyyyyii / east
  ☆17Updated last month
• vedantpalit / Towards-Vision-Language-Mechanistic-Interpretability
  This is the official repository for the "Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP" paper acce…
  ☆22Updated last year
• UCSB-NLP-Chang / Prereq_tune
  Implementation for the paper "Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning"
  ☆10Updated 4 months ago
• amudide / switch_sae
  Efficient Dictionary Learning with Switch Sparse Autoencoders (SAEs)
  ☆23Updated 6 months ago
• Shalev-Lifshitz / MultiAgentVerification
  Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
  ☆18Updated 3 months ago
• JoshEngels / SAE-Probes
  Code for reproducing our paper "Are Sparse Autoencoders Useful? A Case Study in Sparse Probing"
  ☆20Updated 2 months ago
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆52Updated last month
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆19Updated last year
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆47Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆89Updated last week
• Nix07 / finetuning
  This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…
  ☆26Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated last month
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆14Updated 9 months ago
• RobertCsordas / moeut
  ☆79Updated 9 months ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆29Updated last year
• milesaturpin / cot-unfaithfulness
  ☆44Updated last year
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year