### 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)

with create_session() as session:
            dag_run = ti.get_dagrun(session=session)
            template = dag_run.get_log_template(session=session).filename
        str_tpl, jinja_tpl = parse_template_string(template)
        if jinja_tpl:
            if hasattr(ti, "task"):
                context = ti.get_template_context()
            else:
                context = Context(ti=ti, ts=dag_run.logical_date.isoformat())
            context["try_number"] = try_number
            return render_template_to_string(jinja_tpl, context)
        elif str_tpl:
            try:
                dag = ti.task.dag
            except AttributeError:  
                data_interval = (dag_run.data_interval_start, dag_run.data_interval_end)
            else:
                if TYPE_CHECKING:
                    assert dag is not None
                data_interval = dag.get_run_data_interval(dag_run)
            if data_interval[0]:
                data_interval_start = data_interval[0].isoformat()
            else:
                data_interval_start = ""
            if data_interval[1]:
                data_interval_end = data_interval[1].isoformat()
            else:
                data_interval_end = ""