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Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers show sparse autoencoders encode both static concepts and context-dependent functions, with most features lacking stable steering directions.
- 为何重要
- Engineers using SAEs for model interpretability and steering should reconsider whether activation descriptions reliably predict causal effects on outputs.
- 注意
- Features can be interpretable and causally relevant without providing consistent, reusable directions for steering across different contexts or prompts.
收听本摘要
- prompt
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