During November 2024, Mitra Fantos developed the foundational Representation Surgery feature for steering functions in language models within the davidbau/sidn-handbook repository. Leveraging machine learning and natural language processing expertise, Mitra formalized a mathematical framework to align representation statistics, specifically means and covariances, to guide model outputs. The implementation included initial experiments in HTML that demonstrated measurable reductions in gender bias and toxicity, while improving the efficiency of the steering approach. This work provided an end-to-end solution from concept to experimental validation, enabling safer and more controllable language model behavior and supporting the deployment of steerable models in user-facing features.