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New 'Mixture of Wide Experts' Method Aims to Make Language Model Features Interpretable

This story is from 2026-11-04. It is preserved in the archive; the latest stories are on the live feed.

A new arXiv paper proposes Mixture of Wide Experts, a sparse routing approach that keeps model features in interpretable native coordinates, complementing sparse autoencoders which recover concepts spread across many dimensions.

Read the full story at arXiv cs.LG ↗

Timeline · 1 report

  1. 2026-11-04 05:00 · arXiv cs.LG
    Mixture of Wide Experts: Sparse Routing for Interpretable Native Coordinates

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