Naturally learned behaviors in deep MLPs resist detection by both human and learned algorithms

IntroductionAn ambitious problem in mechanistic interpretability of neural networks is finding an input for a neural network that produces a certain output (), however this is shown to not have a general computationally tractable solution that works in cases such as when the network acts as a verifi…

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