时空ver最后的回忆

assets/unsorted/AgentCity/figures/attn_vis.tex

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+\begin{figure}[t]
+% \captionsetup[subfigure]{labelformat=simple, labelsep=period}
+% \renewcommand\thesubfigure{\alph{subfigure})} % 将子标题的标签格式改为 "a)"
+  \centering
+  \begin{subfigure}[b]{0.47\linewidth}   % PD:平衡一下图片大小，如果一样的图可以都用0.48
+    \hspace{-3px} % PD: 往左挪点防止重心偏右
+    \includegraphics[width=\linewidth]{assets/Layer10.pdf}
+    % \includegraphics[width=\linewidth]{assets/Layer10_norubost.pdf}
+    \caption{Across Head Dimensions}      % 子图标题留空即可自动生成 (a)
+    \label{fig:attnindim}
+  \end{subfigure}
+  \hfill % 在两张图之间插入一个弹性空白，使它们左右对齐
+  \begin{subfigure}[b]{0.48\linewidth}
+    \hspace{-3px} % PD: 往左挪点防止重心偏右
+    \includegraphics[width=\linewidth]{assets/AcrossLayer.pdf}
+    \caption{Across Layers}
+    \label{fig:attninlayer}
+  \end{subfigure}
+  \caption{Q-state activation strength visualizations in LLaMA-2-7B.
+We compute the average L2 norm per attention head to quantify activation strength.
+Stronger activations are concentrated in high-indexed (\ie low-RoPE frequency) dimensions and vary across layers, highlighting both dimension-wise and layer-wise heterogeneity.
+}
+  \label{fig:hotattn}
+\end{figure}
+% \py{font size of figure is too small}