[BugReport] Confusion Matrix doesn't appear as output artifact

[allinorcannon]

Describe the bug
After calling log_confusion_matrix only the test confusion matrix is shown in the charts section,while nothing is shown in the output artifacts section (Screenshots provided in the appropriate section).
When using aws-cli all three of the confusion matrices generated by the code are visible, as on the s3, so this is not a code issue. I believe this is a bug, since it clearly states in the documentation of the function that the 'is_output' argument ensures that the confusion_matrix is depicted as an output artifact.
To reproduce
Train a model in sagemaker within an experiments run context, use the log_confusion_matrix and wait for the results.
Expected behavior
Confusion matrices should be available as output artifacts via the Sagemaker Studio UI
Screenshots or logs


System information
A description of your system. Please provide:

• SageMaker Python SDK version: 2.199.0
• Framework name (eg. PyTorch) or algorithm (eg. KMeans): PyTorch
• Framework version: 2.0.1
• Python version: Python 3.10.6
• CPU or GPU: GPU
• Custom Docker image (Y/N): Y
  Additional context
  Another thing would be the possibility of seeing all confusion matrices - it would be very useful and a quick adjustment since they are generated to s3 either way.