☆407Aug 21, 2025Updated 7 months ago
Alternatives and similar repositories for dictionary_learning
Users that are interested in dictionary_learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆212Oct 14, 2025Updated 5 months ago
- Training Sparse Autoencoders on Language Models☆1,295Mar 19, 2026Updated 3 weeks ago
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆248Updated this week
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆252Feb 27, 2026Updated last month
- Sparsify transformers with SAEs and transcoders☆704Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆25Aug 23, 2025Updated 7 months ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆885Updated this week
- ☆158Dec 30, 2025Updated 3 months ago
- ☆582Jul 19, 2024Updated last year
- Sparse Autoencoder Training Library☆55May 1, 2025Updated 11 months ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆64Oct 27, 2024Updated last year
- ☆202Nov 17, 2024Updated last year
- Using sparse coding to find distributed representations used by neural networks.☆298Nov 10, 2023Updated 2 years ago
- Improving Steering Vectors by Targeting Sparse Autoencoder Features☆27Nov 20, 2024Updated last year
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- ☆135Oct 28, 2023Updated 2 years ago
- A library for mechanistic interpretability of GPT-style language models☆3,272Apr 3, 2026Updated last week
- Sparse Autoencoder for Mechanistic Interpretability☆296Jul 20, 2024Updated last year
- Mechanistic Interpretability Visualizations using React☆338Dec 18, 2024Updated last year
- A curated reading list of research in Sparse Autoencoders, Feature Extraction and related topics in Mechanistic Interpretability☆30Jan 30, 2025Updated last year
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆20Jan 19, 2025Updated last year
- Modified to support crosscoder training.☆26Feb 4, 2026Updated 2 months ago
- Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)☆63Jul 24, 2025Updated 8 months ago
- Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"☆47May 31, 2024Updated last year
- 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.
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆84Nov 27, 2024Updated last year
- A library for training crosscoders☆16May 28, 2025Updated 10 months ago
- Attribution-based Parameter Decomposition☆34Jun 11, 2025Updated 9 months ago
- ☆92Dec 18, 2025Updated 3 months ago
- ☆58Nov 19, 2024Updated last year
- Applying SAEs for fine-grained control☆26Dec 15, 2024Updated last year
- ☆119Feb 11, 2025Updated last year
- ☆65Jan 17, 2025Updated last year
- Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs) and their frontier variants.☆209Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Steering vectors for transformer language models in Pytorch / Huggingface☆146Feb 21, 2025Updated last year
- Open source interpretability artefacts for R1.☆172Apr 21, 2025Updated 11 months ago
- ☆24Jan 28, 2025Updated last year
- Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from e…☆29May 23, 2024Updated last year
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆868Mar 6, 2026Updated last month
- Efficient Dictionary Learning with Switch Sparse Autoencoders (SAEs)☆25Dec 1, 2024Updated last year
- Engine for collecting, uploading, and downloading model activations☆28Apr 2, 2025Updated last year