Re:Show HN: Steerling-8B, a language model that can explain ...
by adebayoj on Tuesday February 24, 2026 @04:31AM
(#47134897)
Our decomposition allows us to answer question like: for 84 percent of the model's representation, we know it is relying on this concept to give an answer.
We can also trace its behavior to the training data that led to it, so that can show us where some of these concepts are formed from.
I feel this would give insight into all that including the degree of true conceptualisation. I’m curious if this can demonstrate what else the model is aware of when answering, too.