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  # PoolBench
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- **PoolBench** is a benchmark for evaluating 19 hidden-state pooling strategies for activation steering across 17 text concepts and 7 language models.
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  Each concept corpus contains up to 1,000 passages per class (700 train / 300 test) sourced from real public datasets on HuggingFace. No passages are LLM-generated.
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  title={PoolBench: Evaluating Pooling Strategies for Activation Steering Vectors},
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  author={Anonymous},
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  year={2026},
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- note={NeurIPS 2026 Datasets and Benchmarks Track}
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  }
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  ```
 
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  # PoolBench
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+ **PoolBench** is a benchmark for evaluating pooling strategies for activation steering across 17 text concepts.
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  Each concept corpus contains up to 1,000 passages per class (700 train / 300 test) sourced from real public datasets on HuggingFace. No passages are LLM-generated.
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  title={PoolBench: Evaluating Pooling Strategies for Activation Steering Vectors},
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  author={Anonymous},
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  year={2026},
 
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  }
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  ```