Thank you. Validating to hear others feel spreadsheets are a natural and accessible way to explain LLMs. Someone asks “what’s do they mean by a parameter in a model” or “what is the attention matrix” and you can just pull it up graphically laid out. Then they can fiddle with it and get a visceral feel for things. It also becomes easier for non coders do things like logit lens which is just a few extra simple spreadsheet functions.

I actually plan to do what you describe after I do the embeddings video (but only for a “toy” neural net as a proof-of-concept introduction to gradient descent).