Refactor activation processing in verify_activation.py to simplify matrix…

Refactor activation processing in verify_activation.py to simplify matrix multiplication and output. Removed commented-out code for clarity.

hllm/verify/verify_activation.py

@@ -36,12 +36,13 @@ def run(config: CFG):
 
     with open(results_txt, "w") as f:
         for layer in weights:
-            for i in range(8):
-                activation_bit = get_bit(activation, i)
-                tem = np.matmul(activation_bit, layer.T)
-                for val in tem[0]:
-                    f.write(f"{val} ")
-                f.write("\n")
+            # for i in range(8):
+            # activation_bit = get_bit(activation, 0)
+            tem = np.matmul(activation, layer.T)
+            # f.write(f"{tem}\n")
+            for val in tem[0]:
+                f.write(f"{val} ")
+            f.write("\n")
         # with open(result_manual_txt, "w") as f:
         #     for layer in matrixs:
         #         tem = np.zeros((1, layer.shape[1]))