Reading List
Welcome to my reading library. Here you will find my reading lists split into two distinct subcategories: general non-academic books that broaden my perspective outside my studies, and a structured syllabus of foundational research papers in mechanistic interpretability and representation geometry.
📚 Books
A curated log of books I have read outside of my computer science coursework—spanning personal development, philosophy, spirituality, and classic literature—to explore new perspectives and take a break from the everyday rush.
🔬 Mechanistic Interpretability Papers
A structured, annotated syllabus of seminal papers in mechanistic interpretability, representation geometry, sparse autoencoders (SAEs), and causal model surgery, complete with key takeaways and critical notes for each work.
