This reminds me of control vectors, especially this line in the linked DwarfStar repo:

> y = y - scale * direction[layer] * dot(direction[layer], y)

From https://vgel.me/posts/representation-engineering/

> A control vector is a vector (technically a list of vectors, one per layer) that you can apply to model activations during inference to control the model's behavior without additional prompting