hammamiomar/sdxl-turbo-sae-labels

SDXL-Turbo SAE Feature Labels 20,480 labeled sparse autoencoder features across 4 UNet attention blocks in SDXL-Turbo, plus 50K generated images with full activation logs. Built for latent-dance — a real-time audio-reactive music visualizer using SAE steering at 50 FPS. Important attribution: The SDXL-Turbo sparse autoencoders/checkpoints used here were trained and released by Surkov et al. / EPFL through sdxl-unbox. This dataset does not claim authorship of the SAE training. It… See the full description on the dataset page: https://huggingface.co/datasets/hammamiomar/sdxl-turbo-sae-labels.