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Here, Δ is the positional distance, ωf are the RoPE rotation frequencies for each frequency band f, and the coefficients af and bf are determined by the Q/K centers. This series produces a characteristic attention-vs-distance curve for each head. Some heads prefer nearby keys (local attention), others prefer very distant keys (attention sinks). The centers, computed offline from calibration data, fully determine which distances are preferred.
If you wanna check out shuk, it’s available on Github, or even on crates.