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| A Primer on the Inner Workings of Transformer-Based Language Models (arxiv.org) | |
| 4 points by Anon84 on Sep 19, 2024 | hide | past | pdf | discuss on HN | |
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In plain words: A guide walks through the main ways scientists peek inside modern language models — the systems that generate text — to see how they store facts, follow instructions and build answers. It gathers years of scattered findings into one map, showing how different techniques connect and which questions remain open. Abstract · A Primer on the Inner Workings of Transformer-based Language ModelsThe rapid progress of research aimed at interpreting the inner workings of advanced language models has highlighted a need for contextualizing the insights gained from years of work in this area. This primer provides a concise technical introduction to the current techniques used to interpret the inner workings of Transformer-based language models, focusing on the generative decoder-only architecture. We conclude by presenting a comprehensive overview of the known internal mechanisms implemented by these models, uncovering connections across popular approaches and active research directions in this area. | |
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