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  How Amlgo Labs and the Research Community Are Deepening Our Understanding of Language Model Behaviour The rapid advancement of large language models has brought unprecedented capabilities, yet paradoxically, as these models grow more powerful, they become more opaque. Understanding what happens inside these AI systems remains one of the most pressing challenges in AI safety. Enter Gemma Scope 2, a groundbreaking open-source toolkit that’s transforming how researchers peer into the inner workings of language models. At  Amlgo Labs , we’ve been closely following and contributing to mechanistic interpretability, recognising that transparency isn’t just a technical nicety, it’s fundamental to building trustworthy AI. The Interpretability Challenge Modern language models are vast neural networks with billions of parameters. When you input a query, it passes through hundreds of layers before producing output. But what happens in between? What concepts does the model form? How does...