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cs.LG2024
Planning in a recurrent neural network that plays Sokoban
Mohammad Taufeeque, Philip Quirke, Maximilian Li +4
Planning is essential for solving complex tasks, yet the internal mechanisms underlying planning in neural networks remain poorly understood. Building on prior work, we analyze a r…
cs.LG2024
Understanding Addition and Subtraction in Transformers
Philip Quirke, Clement Neo, Fazl Barez
We use integer addition and subtraction as a controlled, exactly-solvable testbed for what can be said with confidence about the algorithm a low-loss transformer implements - logic…
cs.LG2023
Understanding Addition in Transformers
Philip Quirke, Fazl Barez
Understanding the inner workings of machine learning models like Transformers is vital for their safe and ethical use. This paper provides a comprehensive analysis of a one-layer T…