Max Forsey is a dedicated Research Assistant at the Perception Control and Cognition Lab, where he is at the forefront of exploring the intricate relationship between artificial intelligence and human cognition. His current focus on large language models (LLMs) delves into mechanistic interpretability, a crucial...
Max Forsey is a dedicated Research Assistant at the Perception Control and Cognition Lab, where he is at the forefront of exploring the intricate relationship between artificial intelligence and human cognition. His current focus on large language models (LLMs) delves into mechanistic interpretability, a crucial area that seeks to demystify how AI systems make decisions. By designing innovative sparse autoencoder architectures, Max is not only enhancing the performance of these models but also paving the way for improved AI alignment and safety. His work aims to foster a deeper understanding of model behavior, which is essential for developing AI systems that are not only effective but also aligned with human values.
Max's expertise in machine learning, particularly with frameworks like PyTorch, allows him to implement cutting-edge algorithms that push the boundaries of what AI can achieve. His proficiency in programming languages such as C++ and C further equips him to tackle complex problems and contribute to software project management within the lab. Beyond technical skills, Max excels in critical thinking and problem-solving, enabling him to approach research challenges with a unique perspective. His ability to build relationships and demonstrate emotional intelligence fosters a collaborative environment, essential for interdisciplinary research. As he continues to explore the nature of intelligence and learning, Max is committed to creating tools that not only extend human capabilities but also ensure the responsible development of AI technologies.
