Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
☆269Feb 27, 2026Updated 5 months ago
Alternatives and similar repositories for sae_vis
Users that are interested in sae_vis are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Training Sparse Autoencoders on Language Models☆1,501Updated this week
- ☆31Apr 4, 2024Updated 2 years ago
- Sparsify transformers with SAEs and transcoders☆734Updated this week
- ☆429Aug 21, 2025Updated 11 months ago
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆272Updated this week
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆110May 23, 2026Updated 2 months ago
- Mechanistic Interpretability Visualizations using React☆362Apr 30, 2026Updated 3 months ago
- ☆224Oct 14, 2025Updated 10 months ago
- ☆141Oct 28, 2023Updated 2 years ago
- Sparse Autoencoder for Mechanistic Interpretability☆303Jul 20, 2024Updated 2 years ago
- ☆182May 1, 2026Updated 3 months ago
- Sparse Autoencoder Training Library☆58May 1, 2025Updated last year
- Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"☆13Jul 18, 2024Updated 2 years ago
- Using sparse coding to find distributed representations used by neural networks.☆309Nov 10, 2023Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆599Jul 19, 2024Updated 2 years ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆1,023Updated this week
- A library for mechanistic interpretability of GPT-style language models☆3,790Updated this week
- ☆17Feb 14, 2024Updated 2 years ago
- ☆212Nov 17, 2024Updated last year
- ☆294Oct 1, 2024Updated last year
- Open source replication of Anthropic's Crosscoders for Model Diffing☆68Oct 27, 2024Updated last year
- Algebraic value editing in pretrained language models☆71Nov 1, 2023Updated 2 years ago
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆383Jul 23, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Accompanying codebase for neuroscope.io, a website for displaying max activating dataset examples for language model neurons☆15Feb 13, 2023Updated 3 years ago
- ☆24Feb 13, 2026Updated 6 months ago
- ☆38Apr 30, 2024Updated 2 years ago
- A TinyStories LM with SAEs and transcoders☆15Apr 3, 2025Updated last year
- Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State☆21Oct 24, 2025Updated 9 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆90Nov 27, 2024Updated last year
- This repository collects all relevant resources about interpretability in LLMs☆404Nov 1, 2024Updated last year
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆20Jan 19, 2025Updated last year
- ☆30Aug 2, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Tools for studying developmental interpretability in neural networks.☆150Apr 23, 2026Updated 3 months ago
- Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"☆48May 31, 2024Updated 2 years ago
- Applying SAEs for fine-grained control☆27Dec 15, 2024Updated last year
- Multi-Layer Sparse Autoencoders (ICLR 2025)☆30Feb 6, 2026Updated 6 months ago
- Tools for understanding how transformer predictions are built layer-by-layer☆608Aug 7, 2025Updated last year
- Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs) and their frontier variants.☆226Updated this week
- Universal Neurons in GPT2 Language Models☆30May 28, 2024Updated 2 years ago