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# Sorted Code Layout
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This directory is a cleaned copy of the paper pipeline code.
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## Stages
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- `1_raw_dataset/`: upstream/raw dataset copies.
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- `2-1_head_identification_preprocess/`: scripts and converted JSONL files for head-identification datasets.
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- `2-2_head_identification/`: attention collection, head scoring, head sorting, visualization, and threshold sweeps.
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- `3-1_model_training_preprocess/`: training-data generation scripts and output directory.
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- `3-2_model_training/`: LoRA training scripts and output directory.
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- `4_model_evaluation/`: model evaluation and summary scripts.
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- `sharedlibs/`: shared Python helpers used by multiple stages.
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## Path Rules
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Scripts under each stage use relative paths:
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- raw dataset inputs point to `../1_raw_dataset/...`
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- head-identification inputs point to `../2-1_head_identification_preprocess/...`
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- head-scoring outputs point to `../2-2_head_identification/head_scoring/...`
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- generated training data points to `../3-1_model_training_preprocess/model_training/...`
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- LoRA outputs point to `../3-2_model_training/lora/...`
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- local model checkpoints point to `../../models/...`
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Each runnable stage has a `lib` symlink to `../sharedlibs/lib` so existing `from lib...` imports continue to work.
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