Low-Dimensional Execution Manifolds in Transformer Learning Dynamics: Evidence from Modular Arithmetic Tasks

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Scaling and evaluating sparse autoencoders
2024Leo Gao, Tom Dupr'e la Tour et al.
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Sparse Autoencoders Find Highly Interpretable Features in Language Models
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Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
2022Alethea Power, Yuri Burda et al.
[4]
Zoom In: An Introduction to Circuits
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Emergent properties of the local geometry of neural loss landscapes
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A Convergence Theory for Deep Learning via Over-Parameterization
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Neural Tangent Kernel: Convergence and Generalization in Neural Networks
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Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
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