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首先，Conceptually, circuits are particular paths through which information flows through the model. It is not too far off to think of them as the ML analogue of the electrical circuits you find on a PCB. They have inputs, do some computation, and produce outputs. In the simplified attention-only models, circuits are mathematically tractable to analyze due to the mostly linear structure of the transformer under the attention-only assumptions (and completely linear if the attention patterns are held constant).
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第三，I only looked at each of my previous solutions and tried to "actively" recreate the writing process, but without focusing on one particular problem.
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