The Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT has developed a new way for LLMs to explain the behavior of other AI systems.
The method is called Automated Interpretability Agents (AIAs), pre-trained language models that provide intuitive explanations for computations in trained networks.
AIAs are designed to mimic the experimental process of a scientist designing and running tests on other computer networks.
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