My security scanner scored 0 out of 485. So I looked inside GPT-2's brain instead.

A security scanner designed to detect poisoned tool descriptions scored zero out of 485 against real-world attacks, highlighting the ineffectiveness of traditional text-based detection methods. By analyzing GPT-2's internal activations using TransformerLens, researchers achieved up to 98.5% accuracy in distinguishing between safe and malicious descriptions, suggesting a promising new approach for detecting intent within AI-generated content.

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