Alternatives and similar repositories for SAE-Ravel

Users that are interested in SAE-Ravel are comparing it to the libraries listed below

• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆57Updated last month
• milesaturpin / cot-unfaithfulness
  ☆51Updated 2 years ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆67Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• roeehendel / icl_task_vectors
  ☆102Updated 2 years ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆84Updated 8 months ago
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆28Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆82Updated 11 months ago
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆123Updated 2 months ago
• balevinstein / Probes
  ☆57Updated 2 years ago
• lifan-yuan / OOD_NLP
  [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…
  ☆36Updated 2 years ago
• y0mingzhang / diffuse-distributions
  Forcing Diffuse Distributions out of Language Models
  ☆18Updated last year
• UFO-101 / auto-circuit
  A library for efficient patching and automatic circuit discovery.
  ☆80Updated 4 months ago
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆133Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆150Updated 5 months ago
• activatedgeek / calibration-tuning
  ☆52Updated 7 months ago
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆38Updated 3 months ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆29Updated last year
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆80Updated last year
• saprmarks / geometry-of-truth
  ☆95Updated last year
• alestolfo / lm-arithmetic
  Code for the paper "A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis"
  ☆19Updated 5 months ago
• edenbiran / HoppingTooLate
  Exploring the Limitations of Large Language Models on Multi-Hop Queries
  ☆29Updated 9 months ago
• PAIR-code / pretraining-tda
  ☆29Updated 9 months ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆99Updated 4 years ago
• montemac / activation_additions
  Algebraic value editing in pretrained language models
  ☆66Updated 2 years ago
• wesg52 / sparse-probing-paper
  Sparse probing paper full code.
  ☆65Updated last year
• Aaquib111 / edge-attribution-patching
  Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"
  ☆43Updated last year
• hannamw / EAP-IG
  ☆61Updated 4 months ago
• launchnlp / LitCab
  ☆25Updated 5 months ago
• yfqiu-nlp / sea-llm
  Code for the paper "Spectral Editing of Activations for Large Language Model Alignments"
  ☆29Updated 11 months ago