[pas]

ah, okay, thanks!

so basically reverse notation has the advantage of keeping magnitude of numbers (digits!) relative to each other constant (or at least anchored to the beginning of the number)

doesn't attention help with this? (or, it does help, but not much? or it falls out of autoregressive methods?)

[cschmidt]

Attention does help, which is why it can learn arithmetic, even with arbitrary tokenization. However, if you put it in a standard form, such as right-to-left groups of 3, you make it an easier problem for the LLM to learn. All the examples it sees are in the same format. Here, the issue is that BLT operates in an autoregressive manner (strictly left to right), which makes it harder to tokenize the digits in a way that is easier for the LLM to learn. Each digit is its own token (Llama style), or flipping the digits might be the best.