The Self-Hating Attention Head: A Deep Dive in GPT-2
A mechanistic analysis of GPT-2 attention head L1H5 shows it attends to semantically similar tokens while suppressing self-attention, driven by negative eigenvalues in its symmetric QK matrix, and steerable by rescaling them.