Emergent Symbolic Reasoning in LLMs
We’ve written about grokking before, and why it’s important that neural networks, after long-term stagnation or overhitting (memorising training data), suddenly experiences a “lightbulb moment” and generalises to perform perfectly on unseen data. Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models According to the paper ‘Emergent Symbolic Mechanisms Support Abstract Reasoning in Large…