ArthT/vlm-safety-circuits

VLMSafe-420: A Multimodal Safety Benchmark for VLM Circuit Analysis A 420-entry multimodal safety dataset with counterfactual pairs, designed for mechanistic interpretability of safety circuits in Vision-Language Models. Dataset Description Each entry contains a harmful/benign counterfactual pair spanning 38 safety categories including 50 JailbreakBench-style prompts. The dataset covers three counterfactual types: Type Count Description Text… See the full description on the dataset page: https://huggingface.co/datasets/ArthT/vlm-safety-circuits.

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