A new lay guide breaks down the complex mathematics of superposition in neural networks. The author translates dense theoretical computer science concepts into accessible terms after a failed attempt to digest the original paper in one hour. This effort helps non-experts understand how models store more features than they have dimensions, aiding AI alignment research.