title: SAEBase Research Lab
emoji: 🧱
colorFrom: gray
colorTo: blue
sdk: static
app_file: index.html
short_description: Explore verified SAE checkpoints, interventions and results.
tags:
- sparse-autoencoders
- mechanistic-interpretability
- research-tools
- reproducibility
- evaluation
pinned: true
SAEBase Research Lab
Explore SAEBase workflows, real-checkpoint compatibility results and source-linked evaluation data in an interactive research dashboard.
Start with the 5-minute tutorial, browse 18 model–SAE configurations and 48 verified layer sites, then inspect four recorded metrics and original per-layer reports. The dashboard displays precomputed results rather than running an LLM in the browser.
All measurements were obtained from the verified source at d3fd1cb1. Metric values may not be directly comparable across models, hooks, and evaluation protocols. Benchmark prompts use 64 held-out groups of recurring controlled templates.
Source: https://github.com/OpenSAE/SAEBase
Release: https://github.com/OpenSAE/SAEBase/releases/tag/v0.3.0
Evaluation files: https://github.com/OpenSAE/SAEBase/blob/main/docs/verified-model-matrix.md
The Space hosts public software demonstrations and source-linked evaluation records. Pretrained models and SAE weights remain with their original publishers.