AI & ML
impact 16
reward-lens: A Mechanistic Interpretability Library for Reward Models
reward-lens: A Mechanistic Interpretability Library for Reward Models arXiv:2604.26130v1 Announce Type: cross Abstract: Every RLHF-trained language model is shaped by a reward model, yet the mechanistic interpretability…
Why it matters
Look past the headline—the real story is how mechanistic intersects with ongoing reward trends in the industry.