Copy & copy-suppression heads. Both read the token they attend to and write to the output logits — a copy head raises that token’s probability (reinforcing what it sees), a copy-suppression head lowers it. Copy-suppression is a well-documented calibration mechanism: it demotes tokens the model is about to over-repeat, acting as a brake against degenerate repetition. Amber tier: the sign-of-logit-delta mechanism is exact; magnitudes are illustrative.