### Apache Airflow version

2.4.3

### What happened

In the grid view I do not see the logs for the latest try number if the task is in deferred state. I do see it in the "old" log view.

Grid view:
![image](https://user-images.githubusercontent.com/3342974/204215464-989e70e3-9dfc-490b-908c-f47f491316d5.png)

"Old" view:
![image](https://user-images.githubusercontent.com/3342974/204215513-05a6b0ac-f3da-44fa-b8c2-e31013e2467c.png)

It could have something to do with the deferred task getting its try_number reduced by 1 - in my example try_number=1 and next_try_number=2.

https://github.com/apache/airflow/blob/3e288abd0bc3e5788dcd7f6d9f6bef26ec4c7281/airflow/models/taskinstance.py#L1617-L1618



### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Operating System

Red Hat

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

execution_date = get_prev_execution_date()
            if execution_date is None:
                return None
            return execution_date.strftime(r"%Y-%m-%d")
        def get_prev_ds_nodash() -> str | None:
            prev_ds = get_prev_ds()
            if prev_ds is None:
                return None
            return prev_ds.replace("-", "")
        def get_triggering_events() -> dict[str, list[DatasetEvent]]:
            if TYPE_CHECKING:
                assert session is not None
            
            
            
            nonlocal dag_run
            if dag_run not in session:
                dag_run = session.merge(dag_run, load=False)
            dataset_events = dag_run.consumed_dataset_events
            triggering_events: dict[str, list[DatasetEvent]] = defaultdict(list)
            for event in dataset_events:
                triggering_events[event.dataset.uri].append(event)
            return triggering_events