### 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)

time_machine.move_to("2022-01-02T00:00:00+00:00", tick=False)
    yield
@pytest.mark.usefixtures("freeze_time_for_dagruns")
def test_one_run(admin_client, dag_with_runs: list[DagRun], session):
    """
    Test a DAG with complex interaction of states:
    - One run successful
    - One run partly success, partly running
    - One TI not yet finished
    """
    run1, run2 = dag_with_runs
    for ti in run1.task_instances:
        ti.state = TaskInstanceState.SUCCESS
    for ti in sorted(run2.task_instances, key=lambda ti: (ti.task_id, ti.map_index)):
        if ti.task_id == "task1":
            ti.state = TaskInstanceState.SUCCESS
        elif ti.task_id == "group.mapped":
            if ti.map_index == 0:
                ti.state = TaskInstanceState.SUCCESS
                ti.start_date = pendulum.DateTime(2021, 7, 1, 1, 0, 0, tzinfo=pendulum.UTC)
                ti.end_date = pendulum.DateTime(2021, 7, 1, 1, 2, 3, tzinfo=pendulum.UTC)
            elif ti.map_index == 1: