Alternatives and similar repositories for vectorlm

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

• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆177Updated 7 months ago
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆138Updated last year
• VectorInstitute / vector-inference
  Efficient LLM inference on Slurm clusters.
  ☆90Updated last week
• dtsip / in-context-learning
  ☆241Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated 2 months ago
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆104Updated this week
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆227Updated last year
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆96Updated 4 months ago
• neelnanda-io / 1L-Sparse-Autoencoder
  ☆132Updated 2 years ago
• llm-merging / LLM-Merging
  LLM-Merging: Building LLMs Efficiently through Merging
  ☆209Updated last year
• mmatena / model_merging
  ☆80Updated 3 years ago
• redwoodresearch / Easy-Transformer
  ☆137Updated last year
• nouhadziri / faith-and-fate
  ☆39Updated last year
• google-research / jax-influence
  ☆63Updated 4 years ago
• KihoPark / linear_rep_geometry
  ☆114Updated 11 months ago
• lee-ny / teaching_arithmetic
  ☆84Updated 2 years ago
• mlepori1 / NeuroSurgeon
  NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers
  ☆42Updated 11 months ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆105Updated 2 years ago
• HoagyC / sparse_coding
  Using sparse coding to find distributed representations used by neural networks.
  ☆293Updated 2 years ago
• roeehendel / icl_task_vectors
  ☆103Updated 2 years ago
• Nix07 / finetuning
  This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…
  ☆30Updated 3 months ago
• UFO-101 / auto-circuit
  A library for efficient patching and automatic circuit discovery.
  ☆86Updated last month
• ArthurConmy / Automatic-Circuit-Discovery
  ☆265Updated last year
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆133Updated 3 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• GFNOrg / gfn-lm-tuning
  ☆185Updated 2 years ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 10 months ago
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆238Updated last year
• adamkarvonen / SAEBench
  ☆142Updated last month
• TristanThrush / perplexity-correlations
  Simple and scalable tools for data-driven pretraining data selection.
  ☆29Updated 7 months ago