Interesting topic. That said I don't know how useful this is since LLMs are primarily trained using mode-covering training rather than Mode-seeking(RL) training, which means LLMs can not form (and does not have) the same underlying structure to their models of language that humans have.

A LLM does not learn topic by topic, it learns everything all at once and slowly integrates it in to a single knowledge system.