Sparse Visual Thought Circuits in Vision-Language Models
Sparse Visual Thought Circuits in Vision-Language Models explores Develops a diagnostic framework to understand and control the internal workings of vision-language models by analyzing sparse autoencoder features.. Commercial viability score: 4/10 in Vision-Language Models.
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