Benchmark Atlas

亚洲模型实验室 · arXiv 论文

Layer–Token Similarity Bands

复现 Yi Figure 8:逐 token 查看每层输入/输出余弦相似度,并突出 depth upscaling 新复制层接近恒等映射。

yilayerscosine-similaritydepth-upscaling
Input/output cosine similarity across model depth复现 Yi Figure 8:逐 token 查看每层输入/输出余弦相似度,并突出 depth upscaling 新复制层接近恒等映射。 示意数据,仅复现信息结构,不代表最新榜单结果。 Input/output cosine similarity across model depthYi Technical Report · Figure 8 / PDF p.17DEMO DATAYI-6B · 32 LAYERSlayer →YI-9B INITIALIZATION · 48 LAYERSduplicated layerslayer →Writeaquizaboutbitsinput/output cosine similarity
Illustrative demo data · renderer: layerTokenSimilarityBands

Information grammar

它如何组织信息

原模型/深度扩展双带 + token 多线 + duplicated-layer 区间底色 + 层端退化

Visual system
VS-79 Yi layer-token similarity bands
Component ID
yi-layer-token-similarity

Use when

适用判断

适合选择可复制或可跳过的层;相似度需按 token 展开,不能只报整层平均。

Figure-level evidence

Figure 8 · PDF p.17

Yi-6B 与 Yi-9B 初始化的 token-wise layer cosine similarity,新增 16 层接近 1。

Verified
2026-07-13
Paper source
Yi Technical Report

Structured data

可替换的数据模型

示意数据,仅复现信息结构,不代表最新榜单结果。

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