← Latest products

At 16K features

flat autoencoders break. Curved space doesn't. High-Performance Hyperbolic Sparse Autoencoders for Mechanistic Interpretability.

Open source

13 stars · GitHubexternal site

Visit github.comexternal site

Reactions (1)

Similar products

by description similarity

  1. Hacker News201 pts

  2. Autodistill

    github.com

    Use big slow foundation models to train small fast models

    Hacker News18 pts

  3. A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.

    Hacker News579 pts

  4. TinyGPT

    github.com

    A Simple, Educational Deep Learning Library

    Hacker News13 pts

  5. Hacker News33 pts