Unveiling AI's Inner Workings: SNNs Offer a Window into Neural Network 'Thought'

This research pioneers a fascinating approach to understanding Artificial Intelligence by leveraging Spiking Neural Networks (SNNs) to visualize the "thought" processes within AI models. The ability to detect and analyze AI "Hallucination" is a significant step forward, offering potential for improved AI reliability. Furthermore, the application of SNNs to Transformer models opens exciting possibilities for efficient and interpretable AI.

• •SNNs enable the visualization of AI processing priorities.
• •The research achieves a 0.75 AUC for Hallucination detection.
• •The approach is compatible with both GPT-2 and ViT Transformer models.