  We present the deployment and testing of an autoencoder trained for unbiased
detection of new physics signatures in the CMS Level-1 Global Trigger (GT) test
crate during LHC Run 3. The GT test crate is a copy of the main GT system,
receiving the same input data, but whose output is not used to trigger the
readout of CMS, providing a platform for thorough testing of new trigger
algorithms on live data, but without interrupting data taking. We describe the
integration of the Neural Network into the GT test crate, and the monitoring,
testing, and validation of the algorithm during proton collisions.
