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Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders
Foundation models in several scientific domains, including visual domains, learn representations that capture complex semantics from their respective fields. Despite this, most existing applications focus on pre-specified concepts or targets, excelling at confirmation but not open-ended discovery of
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