Agam Bhatia
@chewing_a_gum
professional scriptrunner, CS + Math @Stanford
Joined October 2023
1.5K Following 558 Followers
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.
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