Mechanistically, I don’t expect the model to in fact implement anything like a Bayes net or literal back inference—both of those are just conceptual handles for thinking about how a predictor might work. We discuss in more detail how likely different internal model structures might be in Section 4.
Mechanistically, I don’t expect the model to in fact implement anything like a Bayes net or literal back inference—both of those are just conceptual handles for thinking about how a predictor might work. We discuss in more detail how likely different internal model structures might be in Section 4.
Ah, I knew the bayes net part wasn’t literal, but I wasn’t sure how load bearing the back inference was supposed to be. Thanks for clarifying.