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BTP: A Research Framework for the Mechanical Interpretability of Code Generation Capabilities in Large Language Models

The BTP project provides a complete toolchain and experimental framework for analyzing and pruning attention heads in large language models, evaluating the interpretability of the model's internal mechanisms on code generation benchmarks such as HumanEval, MBPP, and LiveCodeBench.

机械可解释性大语言模型代码生成注意力头模型剪枝HumanEvalMBPPLiveCodeBench神经网络分析
Published 2026-05-03 07:12Recent activity 2026-05-03 07:18Estimated read 1 min
BTP: A Research Framework for the Mechanical Interpretability of Code Generation Capabilities in Large Language Models
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Section 01

导读 / 主楼:BTP: A Research Framework for the Mechanical Interpretability of Code Generation Capabilities in Large Language Models

Introduction / Main Floor: BTP: A Research Framework for the Mechanical Interpretability of Code Generation Capabilities in Large Language Models

The BTP project provides a complete toolchain and experimental framework for analyzing and pruning attention heads in large language models, evaluating the interpretability of the model's internal mechanisms on code generation benchmarks such as HumanEval, MBPP, and LiveCodeBench.