Llama-3-8B In-Context Learning: Attention Head Analysis

Key Finding: The few-shot learning ability of Llama-3-8B is localized to just three attention heads within the transformer architecture. The blog post analyzes how these specific heads operate during the forward pass to extract relevant information from the provided examples.
Mechanism: These attention heads not only extract information but also implement a form of error correction, where mistakes from earlier examples are suppressed by information from later examples within the context window. This suggests a dynamic updating and refinement of the model's understanding based on the sequence of examples.
Methodological Limitation: The blog post provides an overview of the analysis, but lacks specific details on the methodology used to identify and analyze the attention heads. Further information is needed to assess the robustness and generalizability of these findings.