Sparse autoencoders and ITDA produce comparably interpretable and steerable features in FLUX.1, outperforming MLP neurons on an automated visual interpretability metric.
Be- yond surface statistics: Scene representations in a latent dif- fusion model, 2023
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Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning
Sparse autoencoders and ITDA produce comparably interpretable and steerable features in FLUX.1, outperforming MLP neurons on an automated visual interpretability metric.