This work is a continuation of work in a workshop paper: Extracting Paragraphs from LLM Token Activations, and based on continuous research into my main research agenda: Modelling Trajectories of Language Models. See the GitHub repository for code additional details.

Looking at the path directly in front of the LLM Black Box.

Short Version (5 minute version)

I've been trying to understand how Language models "plan", in particular what they're going to write. I propose the idea of Residual Stream Decoders, and in particular, "ParaScopes" to understand if a language model might be scoping out the upcoming paragraph within their residual stream.

I find some evidence that a couple of relatively basic methods can sometimes find what the upcoming outputs might look like. The evidence for "explicit planning" seems weak in Llama 3B, but there is some relatively strong evidence of "implicit steering" in the form of "knowing what the [...]