The speaker says interpretability can reveal models' internal computations and could enable interventions that change the direction of model behavior.

“the model has to like just we have to like use this signal somehow to tell the model what is good and bad and which parts of the thing that it did are good and bad and that's like very it clearly you know given what we're seeing coming out of training now is like quite a quite a quite a blunt instrument and the idea of intentional design is if we can see um you know if we can like interpretability sort of lets us read out what models are”

“are like the internal computations they're doing so let's just read that out um and then also we could imagine like intervening to change where it goes you can see how it'll read out you can see what's like happened in this forward pass and you can also um see like and how will this how will the backward pass change the model to you know in what directions is this going and”