Today's Sharp Thought: Model explainability matters more than power

A post about monosemanticity and why it matters so much

In artificial intelligence, understanding how models make decisions is essential for safety and control. Monosemanticity is a concept designed to address this need by ensuring that each neuron in a model corresponds to a single, well-defined concept. Without it, neurons exhibit polysemanticity—activating for multiple unrelated ideas—making the AI’s beha…