| # Profiling Result Visualization Dataset |
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| ## 📖 Introduction |
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| This repository is a part of "[MoE_expert_selection_trace Repository](https://huggingface.co/datasets/core12345/MoE_expert_selection_trace)". It provides analysis and visualization results of our profiled expert selection trace for MoE LLM on the **MMLU** dataset, including **Llama4-Maverick**, **DeepSeek-R1**, and **Qwen3-235B**. For a deeper understanding of the analysis, please refer to our paper. |
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| ### Key Components: |
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| - **`cross_token_heatmap/`** – Expert selection heatmap across two adjacent tokens. This corresponds to token-level temporal relations in our paper. Results for prefill and decode stages are presented separately. |
| - **`column_by_layer/`** – Expert selection heatmap across two adjacent layers. This corresponds to layer-level temporal relations in our paper. Results for prefill and decode stages are presented separately. |
| - **`same_layer_heatmap/`** – Co-activation heatmap for experts. This corresponds to spatial relations for expert pairs in our paper. |
| - **`cross_layer_heatmap/`** – Activation frequency for different experts, presented as column figures. This corresponds to spatial relations for single experts in our paper. |
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| --- |
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| ## 📂 Dataset Structure |
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| ### Top-Level Layout |
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| ``` |
| profiling_result_fig/ |
| ├── meta-llama |
| │ └── Llama-4-Maverick-17B-128E-Instruct |
| │ |
| ├── cognitivecomputations |
| │ └── DeepSeek-R1-AWQ |
| │ ├── cross_token_heatmap |
| │ │ └── mmlu |
| │ │ ├── decode |
| │ │ │ ├── xxx.png |
| │ │ │ ├── xxx.txt |
| │ │ │ ├── ... |
| │ │ │ |
| │ │ ├── prefill |
| │ │ └── prefill_decode_corr.txt |
| │ ├── same_layer_heatmap |
| │ ├── cross_layer_heatmap |
| │ └── column_by_layer |
| │ |
| └── Qwen |
| └── Qwen3-235B-A22B-FP8 |
| |
| ``` |
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| --- |
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| ## 📑 File Naming and Domains |
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| The subfolders are named after **academic or professional domains** from the **MMLU benchmark** and related datasets. |
| Examples: |
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| ### Heatmap Files: |
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| There are five types of files: |
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| - **`layer_*.png`** – The original heatmap, reflecting the conditional probability of two activated experts. |
| - **`layer_*_avg.png`** – Normalized heatmap with each value divided by the average value of its corresponding column, eliminating vertical white lines caused by frequently selected experts. |
| - **`layer_*_skew.txt`** – Accumulated frequency of the most popular expert pairs, calculated by aggregating frequency. |
| - **`layer_*_cnt_skew.txt`** – Accumulated frequency of the most popular expert pairs, calculated by aggregating count. Similar to `layer_*_skew.txt`, but more accurate. |
| - **`prefill_decode_corr.txt`** – Correlation ratio between the prefill stage and decode stage. |
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| ### Column Figures: |
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| There are three types of files: |
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| - **`layer_*_prefill.png`** – Statistical results for the prefill stage only. |
| - **`layer_*_decode.png`** – Statistical results for the decode stage only. |
| - **`layer_*_both.png`** – Statistical results considering both prefill and decode stages. |
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