Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models — mentioned by SashaCui

Sat, 14 Feb 2026 06:21:55 GMT

We introduce an automated activation‑steering approach that plugs into standard labeled datasets—no handcrafted prompt pairs or feature annotation. On 18 tasks and 3 open‑weight models, the introspective variant (iPAS) yields the strongest behavior improvements, and layers on top of ICL/SFT. Deep Dive: https://open.substack.com/pub/sashacui/p/painless-activation... Paper: arxiv.org/abs/2509.22739

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Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models · HackerPapers discussions

Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models — mentioned by SashaCui