Dataset · Hugging Face

OpenSAE/SAEBase-Research-Lab

Name: SAEBase-Research-Lab
Creator: OpenSAE
Keywords: language:en, size_categories:n<1K, format:csv, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, sparse-autoencoder, mechanistic-interpretability, evaluation, benchmark, interpretability

SAEBase Research Lab Results 48 sites · 500 prompts · SAR · RSS · Input Localization A compact, queryable research results release for SAEBase v0.4.0. Six CSV tables cover the 48 model/SAE sites, SAR cohort sizes, RSS coverage, controlled-input localization results and the Research Lab study summary. from datasets import load_dataset sites = load_dataset('OpenSAE/SAEBase-Research-Lab', data_files='data/sites.csv')['train'] print(len(sites), sites[0]['site_id']) Reported source… See the full description on the dataset page: https://huggingface.co/datasets/OpenSAE/SAEBase-Research-Lab.

View on Hugging FaceReport an issue

Author / organization	OpenSAE
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	20 October 2026
Last updated at source	20 October 2026

sparse-autoencodermechanistic-interpretabilityevaluationbenchmarkinterpretability

Embed this entry

<iframe src="https://silytics.si/embed/item/21fdf3ab-7639-438e-afab-3f0d7995ae3b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from OpenSAE

OpenSAE/SAEBase-Model-RegistryDataset
OpenSAE/SAEBase-Controlled-FactorsDataset
OpenSAE/SAEBase-Prompt-ManifestDataset
OpenSAE/SAEBase-EvaluationDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.