I've developed something we call the "Tree Walker". An algorithm which helps us get into model's head. It analyzes of all possible paths a model can take once it starts a sentence, exploring up to 5 top tokens for each next token using a dynamic probability threshold. At level 20, there are 95,367,431,640,625 possible sentences if you consider all 5 branches at every step (with no pruning). So instead of all possible continuations exploding exponentially with each step, the Tree Walker smartly prunes unlikely branches, focusing computational power on the most promising directions. This way, we can efficiently visualize and understand not just the most likely next word, but a tree of plausible futures the model might consider at each moment in a sentence. Until next time...