Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks
A key objective of interpretability research on large language models (LLMs) is to develop methods for robustly steering models toward desired behaviors. To this end, two distinct approaches to interpretability -- ``bottom-up" and ``top-down" -- have been presented, but there has been litt...
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Veröffentlicht in: | arXiv.org 2024-11 |
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Format: | Artikel |
Sprache: | eng |
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