In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention
Published in arXiv preprint arXiv:2503.12734, 2025
We study how multi-head softmax attention learns in-context linear regression, characterizing the training dynamics and the kernel estimator a one-layer Transformer converges to.
Recommended citation: Jianliang He, Xintian Pan, Siyu Chen, Zhuoran Yang. "In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention." arXiv preprint arXiv:2503.12734, 2025.
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