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Exploring Mechanistic Interpretability: Unveiling the Inner Workings of Large Language Models

Exploring Mechanistic Interpretability: Unveiling the Inner Workings of Large Language Models

The rapid advancements in artificial intelligence, especially in large language models (LLMs), have revolutionized how we interact with technology. However, the complexity of these models often renders their decision-making processes opaque, raising questions about their reliability and trustworthiness. Mechanistic Interpretability research has emerged as a pivotal field dedicated to demystifying
Aswin Alexander Sam