语言模型隐藏状态可视化：揭示生成机制

AI 摘要

Jay Alammar 发布了关于语言模型隐藏状态可视化的文章，介绍了开源工具 Ecco，用于展示 Transformer 模型各层隐藏状态的演变，以揭示模型生成 token 的决策过程。文章通过示例展示了如何追踪特定 token 的排名变化，并探讨了该方法在分析句法数一致性和性别偏见等任务中的应用。

正文节选

Finding the Words to Say: Hidden State Visualizations for Language Models By visualizing the hidden state between a model's layers, we can get some clues as to the model's "thought process". Part 2: Continuing the pursuit of making Transformer language models more transparent, this article showcases a collection of visualizations to uncover mechanics of language generation inside a pre-trained language model. These visualizations are all created using Ecco, the open-source package we're releasin

发布时间：2021-01-19 08:00

抓取时间：2026-08-02 00:26

来源机构：Jay Alammar