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AdvBench-Alpaca-Contrastive

A contrastive dataset mixing AdvBench prompts for harmful examples and Alpaca prompts for harmless examples.

Cached Layers

The dataset contains Hidden-state activations extracted from Qwen3-4B-Instruct for probing and activation-steering. For each example, activations are collected at the assistant-start token (add_generation_prompt=True) across all model layers, producing tensors of shape:

[num_layers + 1, hidden_size]

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