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by @danabra.mov
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by @danabra.mov
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by @jimpick.com
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by @atsui.org
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It is not easy to characterize the features represented by human language cortex. This work is a step toward doing so. Using small, interpretable feature sets, we explain language-network responses and show a shared feature basis across brain regions, with graded variation across individuals.
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Greta Tuckute
🚨New preprint!🚨 We know that LM representations can be used to predict brain responses to language. But what *features* of these representations underlie this alignment? We use SAEs to find out!
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Michael Lepori