diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py
index b46144e5c94482210751fc170d3eafe57c3e9f5e..5f27bf467b1e592cf7c6aea9cd1dd34e2280b96f 100644
--- a/debug/accuracy_tools/msprobe/core/common/const.py
+++ b/debug/accuracy_tools/msprobe/core/common/const.py
@@ -743,6 +743,11 @@ class MonitorConst:
     DEFAULT_STEP_INTERVAL = 1
 
     OP_LIST = ["norm", "min", "max", "zeros", "nans", "id", "mean", "shape", "dtype"]
+    OP_MONVIS_SUPPORTED = [
+        "norm", "min", "max", "zeros", "nans", "mean",
+        "entropy", "softmax_max", "sr", "kernel_norm", "std_x", "jacobian",
+        "proxy", "token_similarity"
+    ]
     MONITOR_OUTPUT_DIR = "MONITOR_OUTPUT_DIR"
     DEFAULT_MONITOR_OUTPUT_DIR = "./monitor_output"
     DATABASE = "database"
diff --git a/debug/accuracy_tools/msprobe/pytorch/monitor/csv2db.py b/debug/accuracy_tools/msprobe/pytorch/monitor/csv2db.py
index ade9ea6d13aba7aa8e7811e48e367a1023039be4..32873b6682b45785e95303bcb81f845a7d7e9873 100644
--- a/debug/accuracy_tools/msprobe/pytorch/monitor/csv2db.py
+++ b/debug/accuracy_tools/msprobe/pytorch/monitor/csv2db.py
@@ -37,7 +37,8 @@ from tqdm import tqdm
 
 all_data_type_list = [
     "actv", "actv_grad", "exp_avg", "exp_avg_sq",
-    "grad_unreduced", "grad_reduced", "param_origin", "param_updated"
+    "grad_unreduced", "grad_reduced", "param_origin", "param_updated",
+    "linear_hook", "norm_hook", "proxy_model", "token_hook", "attention_hook"
 ]
 DEFAULT_INT_VALUE = 0
 MAX_PROCESS_NUM = 128
@@ -83,7 +84,7 @@ def update_with_order_dict(main_dict, new_list):
 def get_ordered_stats(stats):
     if not isinstance(stats, Iterable):
         return []
-    return [stat for stat in MonitorConst.OP_LIST if stat in stats]
+    return [stat for stat in MonitorConst.OP_MONVIS_SUPPORTED if stat in stats]
 
 
 def pre_scan_single_rank(rank, files):
@@ -106,7 +107,7 @@ def pre_scan_single_rank(rank, files):
         max_step = step_end if max_step < step_end else max_step
 
         data = read_csv(file_path)
-        stats = [k for k in data.keys() if k in MonitorConst.OP_LIST]
+        stats = [k for k in data.keys() if k in MonitorConst.OP_MONVIS_SUPPORTED]
         metric_stats[metric_name].update(stats)
 
         for _, row in data.iterrows():