Agam Bhatia
@chewing_a_gum
professional scriptrunner, CS + Math @Stanford
加入 October 2023
1.5K 正在關注 558 粉絲
R-Lens can be used as a drop-in for J-Lens: it's cleaner, causally relevant, and more consistently captures intermediates!
J-lens is a powerful tool for surfacing workspace content, but it can be noisy in early layers. Can we uncover the true content of these layers?
We introduce the R-lens: a drop-in replacement for J-lens that produces clearer readouts on earlier layers.
顯示更多
