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We understand and build the trellis that the LLMs "grow" on. We don't have good insight into how a fully grown LLM actually turns any specific input into any specific output. We can follow it through the network, but it's a totally senseless noisy mess.

"Cat" lights up a certain set of neurons, but then "cat" looks completely different. That is what we don't really understand.

(This is an illustrative example made for easy understanding, not something I specifically went and compared)