Open source replication of Anthropic's Crosscoders for Model Diffing
☆68Oct 27, 2024Updated last year
Alternatives and similar repositories for crosscoder-model-diff-replication
Users that are interested in crosscoder-model-diff-replication are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆59Nov 19, 2024Updated last year
- Applying SAEs for fine-grained control☆27Dec 15, 2024Updated last year
- A library for training crosscoders☆17May 28, 2025Updated last year
- ☆424Aug 21, 2025Updated 10 months ago
- Improving Steering Vectors by Targeting Sparse Autoencoder Features☆28Nov 20, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Engine for collecting, uploading, and downloading model activations☆29Apr 2, 2025Updated last year
- Trains Sparse Autoencoders based on outputs from language models☆11Oct 7, 2024Updated last year
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆262Jun 22, 2026Updated last week
- ☆174May 1, 2026Updated last month
- ☆25Jun 30, 2025Updated 11 months ago
- ☆219Oct 14, 2025Updated 8 months ago
- Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs) and their frontier variants.☆222Updated this week
- Attribution-based Parameter Decomposition☆35Jun 11, 2025Updated last year
- ☆32Nov 28, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆262Feb 27, 2026Updated 4 months ago
- Multi-Layer Sparse Autoencoders (ICLR 2025)☆30Feb 6, 2026Updated 4 months ago
- Code repo for the model organisms and convergent directions of EM papers.☆70Sep 22, 2025Updated 9 months ago
- ☆19Aug 19, 2025Updated 10 months ago
- A toolkit that provides a range of model diffing techniques including a UI to visualize them interactively.☆74Apr 15, 2026Updated 2 months ago
- Using sparse coding to find distributed representations used by neural networks.☆307Nov 10, 2023Updated 2 years ago
- A benchmark for mechanistic discovery of circuits in Transformers☆17Dec 15, 2024Updated last year
- FeatureAlignment = Alignment + Mechanistic Interpretability☆35Mar 8, 2025Updated last year
- Official Inspect Implementation for "ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases"☆45Dec 1, 2025Updated 6 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆20Jan 19, 2025Updated last year
- A collection of different ways to implement accessing and modifying internal model activations for LLMs☆24Oct 18, 2024Updated last year
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆154Sep 14, 2022Updated 3 years ago
- ☆26Aug 23, 2025Updated 10 months ago
- ☆590Jul 19, 2024Updated last year
- Modified to support crosscoder training.☆27Feb 4, 2026Updated 4 months ago
- ☆71Jan 17, 2025Updated last year
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆968Jun 21, 2026Updated last week
- Sparsify transformers with SAEs and transcoders☆727Jun 22, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Steering Llama 2 with Contrastive Activation Addition☆237May 23, 2024Updated 2 years ago
- Tools for optimizing steering vectors in LLMs.☆22Apr 10, 2025Updated last year
- Understanding how features learned by neural networks evolve throughout training☆41Oct 24, 2024Updated last year
- Training Sparse Autoencoders on Language Models☆1,442Updated this week
- ☆27Oct 6, 2024Updated last year
- KernelBench v2: Can LLMs Write GPU Kernels? - Benchmark with Torch -> Triton (and more!) problems☆24Jul 4, 2025Updated 11 months ago
- Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"☆13Jul 18, 2024Updated last year