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Podcast: Arxiv Papers
Episode: [QA] AXBENCH: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
Description:
The paper introduces AXBENCH, a benchmark for evaluating language model steering and concept detection, finding prompting most effective, while presenting a new method, ReFT-r1, for improved interpretability.
https://arxiv.org/abs//2501.17148
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