I've thought about pattern matching NN weights against known graph structures. I'd imagine, for example, that decision trees emerge at some point in GPT. The r

I've thought about pattern matching NN weights against known graph structures. I'd imagine, for example, that decision trees emerge at some point in GPT. The real problem IMO is our ability to represent natural concepts as such graphs. Is love, for example, a DFA? Can we search for its isomorphism?