Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs) and their frontier variants.
☆213Apr 18, 2026Updated this week
Alternatives and similar repositories for Llamascopium
Users that are interested in Llamascopium are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"☆13Jul 18, 2024Updated last year
- Open source replication of Anthropic's Crosscoders for Model Diffing☆65Oct 27, 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 …☆250Apr 13, 2026Updated last week
- Sparsify transformers with SAEs and transcoders☆705Apr 6, 2026Updated 2 weeks ago
- Applying SAEs for fine-grained control☆26Dec 15, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆159Dec 30, 2025Updated 3 months ago
- ☆29Nov 9, 2025Updated 5 months ago
- Sparse Autoencoder Training Library☆55May 1, 2025Updated 11 months ago
- ☆93Dec 18, 2025Updated 4 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆254Feb 27, 2026Updated last month
- ☆25Aug 23, 2025Updated 7 months ago
- Multi-Layer Sparse Autoencoders (ICLR 2025)☆29Feb 6, 2026Updated 2 months ago
- ☆409Aug 21, 2025Updated 8 months ago
- Sparse Autoencoder for Mechanistic Interpretability☆295Jul 20, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆212Oct 14, 2025Updated 6 months ago
- ☆582Jul 19, 2024Updated last year
- ☆58Nov 19, 2024Updated last year
- A library for mechanistic interpretability of GPT-style language models☆3,331Updated this week
- Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the p…☆13Jan 26, 2025Updated last year
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆893Apr 14, 2026Updated last week
- A tiny easily hackable implementation of a feature dashboard.☆16Oct 21, 2025Updated 6 months ago
- ☆17Feb 14, 2024Updated 2 years ago
- Code for the "Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning" paper.☆17Nov 21, 2025Updated 4 months 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.
- FeatureAlignment = Alignment + Mechanistic Interpretability☆35Mar 8, 2025Updated last year
- ☆104Aug 8, 2024Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆79Jan 16, 2026Updated 3 months ago
- ☆24Jan 28, 2025Updated last year
- Open source interpretability artefacts for R1.☆173Apr 21, 2025Updated 11 months ago
- ☆28Nov 28, 2024Updated last year
- awesome SAE papers☆75May 24, 2025Updated 10 months ago
- Information Extraction related tools and models☆10Mar 16, 2023Updated 3 years ago
- Modified to support crosscoder training.☆27Feb 4, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆20Apr 10, 2025Updated last year
- Mechanistic Interpretability Visualizations using React☆338Dec 18, 2024Updated last year
- A library for training crosscoders☆17May 28, 2025Updated 10 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆85Feb 5, 2024Updated 2 years ago
- ☆18Aug 19, 2025Updated 8 months ago
- Using sparse coding to find distributed representations used by neural networks.☆301Nov 10, 2023Updated 2 years ago
- ☆31Nov 16, 2025Updated 5 months ago