Sparse autoencoders and ITDA produce comparably interpretable and steerable features in FLUX.1, outperforming MLP neurons on an automated visual interpretability metric.
Language mod- els can explain neurons in language models
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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.