Dataset · Hugging Face

OpenSAE/SAEBase-Controlled-Factors

Name: SAEBase-Controlled-Factors
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, interpretability, sparse-autoencoder, localization, controlled-experiment

SAEBase Controlled Factors Two full six-factor designs. 64 states each. The first is an authored fictional event-notice input grid for running real model/SAE localization. The second is a synthetic known-factor control. Each grid contains every binary combination, a deterministic state order, prompt group IDs and SHA-256 checksums. The CSV makes all 128 authored inputs directly browsable. from datasets import load_dataset states =… See the full description on the dataset page: https://huggingface.co/datasets/OpenSAE/SAEBase-Controlled-Factors.

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Author / organization	OpenSAE
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Created	20 October 2026
Last updated at source	20 October 2026

interpretabilitysparse-autoencoderlocalizationcontrolled-experiment

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