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# PoolBench
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**PoolBench** is a benchmark for evaluating
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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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```
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