Part 4/9:
Taking inspiration from neuroscience, the research attempts to develop something akin to a "microscope" for AI, helping identify how specific concepts link together within neural networks. Anthropic's two papers explore how to interpret the inner workings of these models and their broader implications for AI safety and understanding.
Research shows that Claude possesses a shared conceptual space across languages, enabling thought processes that do not inherently rely on identifiable human languages. The implications of this shared "language of thought" hint that Claude might learn concepts in one language and apply them across others seamlessly.