23 citations · 28 across the 4 of their papers we have counts for
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cs.LG2022
Circumventing interpretability: How to defeat mind-readers
Lee Sharkey
The increasing capabilities of artificial intelligence (AI) systems make it ever more important that we interpret their internals to ensure that their intentions are aligned with h…
cs.LG2022★ 5 cited
Interpreting Neural Networks through the Polytope Lens
Sid Black, Lee Sharkey, Leo Grinsztajn +8
Mechanistic interpretability aims to explain what a neural network has learned at a nuts-and-bolts level. What are the fundamental primitives of neural network representations? Pre…