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How Does mHC Use Its Residual Streams? Selective Routing and Near-Identity Mixing

2026-09-07 12:00 Models across 2 days 🔥 47.2 heat score
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The `DeepSeek-V4-Flash model exhibits a specific pattern of residual flow usage in the four-stream residual path. Attention or FFN sites typically utilize only about two streams effectively, and the read/write routing dynamically changes with network depth. Research found that residual mixing primarily occurs in early layers, while layers 22 to 42 mainly independently forward each residual stream, without achieving deep mixing. Experimental interventions showed that replacing the late-stage mixer with an identity map had little impact on model performance (a 1.9% increase in perplexity), whereas replacing the early-stage mixer led to a significant performance decline (a 41% increase in perplexity). Additionally, fixing the early-stage mixer at the diagnostic mean or retaining the three highest routing weights for each site was sufficient to maintain stable model performance. This indicates that the model only achieves partial flexibility of four-stream mHC; individual blocks rarely require all four streams, and late-stage residual mixing does not provide significant benefits.

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DeepSeek-V4-Flash

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  1. 2026-09-04

    How Does mHC Use Its Residual Streams? …

    DeepSeek-V4-Flash 模型在四流残差路径中,注意力或 FFN 位点仅有效使用约两个流,且读写路由随深度变化。早期层存在轻微残差混合,而第 22-42 层主要将各流独立前传。替换晚期混合器为恒等映射使 C4 perplexit…

  2. 2026-09-07

    How Does mHC Use Its Residual Streams? …

    DeepSeek-V4-Flash 模型在四流残差路径中,注意力或 FFN 位点通常仅有效使用约两个流,且读写路由随深度变化。残差混合主要发生在早期层,第 22-42 层主要将各流单独前传。针对性干预显示,替换晚期混合器为恒等映射使 C4…

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  • DeepSeek-V4-Flash2

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A arXiv cs.LG en 2026-09-05 00:02

How Does mHC Use Its Residual Streams? Selective Routing and Near-Identity Mixing

DeepSeek-V4-Flash 模型在四流残差路径中,注意力或 FFN 位点仅有效使用约两个流,且读写路由随深度变化。早期层存在轻微残差混合,而第 22-42 层主要将各流独立前传。替换晚期混合器为恒等映射使 C4 perplexity 增加 1.9% 并保留六任务平均分,而替换早期混合器则使 perplexity 增加 41%。固定早期混合器至其诊断均值仅使 perplexity 增加 0.2%,表明位点特异性结构比 token 级变异更重要。保留每个位点最大的三个路由权重使 perplexity 增加不超过 2.7%,平均分数变化不超过 0.4 分。该模型仅实现了四流 mHC 部分灵活性,单个块极少需要全部四个流,晚期残差混合未提供显著收益。

A arXiv cs.AI en 2026-09-07 12:00

How Does mHC Use Its Residual Streams? Selective Routing and Near-Identity Mixing

DeepSeek-V4-Flash 模型在四流残差路径中,注意力或 FFN 位点通常仅有效使用约两个流,且读写路由随深度变化。残差混合主要发生在早期层,第 22-42 层主要将各流单独前传。针对性干预显示,替换晚期混合器为恒等映射使 C4 perplexity 增加 1.9%,保留六任务平均分;而替换早期混合器则使 perplexity 增加 41%。此外,将早期混合器固定为 C4 诊断均值仅使 perplexity 增加 0.2%,或保留每个位点最大的三个路由权重,perplexity 增加不超过 2.7%。研究证实该模型仅实现了四流 mHC 部分灵活性:单个块很少需要全部四个流,且晚期残差混合提供的收益有限。