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cs.LG2026
VFUSE: Virulent Feature Understanding with Sparse autoEncoders
Michael Yu, Matthew L. Olson
Generative models have shown remarkable progress in a variety of domains such as protein design, but such power enables the opaque generation of hazardous proteins. In this work, w…
cs.LG2025
Probing Semantic Routing in Large Mixture-of-Expert Models
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck +4
In the past year, large (>100B parameter) mixture-of-expert (MoE) models have become increasingly common in the open domain. While their advantages are often framed in terms of eff…