Researcher argues most SAE work added little, backs Transluce's metamodel agenda
thebasepoint · x · 2026-09-27
In a discussion on interpretability research directions, thebasepoint argues that much of the wave of SAE (sparse autoencoder) work did not add much to our understanding of models and their mechanisms.
He singles out Transluce's Oversight models agenda as a "bitter-lesson-pilled" approach to metamodel development—leaning on scale rather than handcrafted decomposition—and calls it a reasonable bet.
Related event: Researchers Call SAE Work Limited, Urge Mechanistic Understanding(3 posts)→
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