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cs.CL2026
Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines
Mikkel Godsk Jørgensen, Lars Kai Hansen
Sparse Autoencoders (SAEs) have been seen as a promising avenue for exploring the internals of Large Language Models (LLMs) and for steering model output generation. When AxBench -…
cs.CL2024★ 2 cited
Convexity-based Pruning of Speech Representation Models
Teresa Dorszewski, Lenka Tětková, Lars Kai Hansen
Speech representation models based on the transformer architecture and trained by self-supervised learning have shown great promise for solving tasks such as speech and speaker rec…