During November 2024, Demidov contributed to the davidbau/sidn-handbook repository by developing a comprehensive feature focused on AI interpretability explanations and concept discovery visuals. Leveraging technical writing, content creation, and research dissemination skills, Demidov synthesized methodologies, datasets, evaluations, and findings from two research papers into accessible documentation. Using HTML and Markdown, Demidov created detailed explanations and supporting visuals that clarify latent world state monitoring and concept transfer in AI systems. This work addressed the need for clearer interpretability education and reproducibility, providing researchers and engineers with a deeper understanding of complex AI concepts and establishing a foundation for future governance and reporting.