Paper reveals massive activations in hybrid linear attention LLMs
rohanpaul_ai · x · 2026-08-18
Research on emerging hybrid Transformer architectures (replacing expensive attention layers with cheaper recurrent layers) reveals unusually large internal activations immediately before the remaining expensive look-back layers. Observed across Qwen3.5, Kimi Linear, Nemotron-H, and Zamba2, these "pre-attention spikes" suggest that the few retained full-attention layers have a disproportionate impact on model behavior, highlighting their critical role in architecture design.
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