### 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)

for cur_dag_id in dag_ids:
            for cur_run_id in run_ids:
                
                dag_task_id_groups = task_id_groups[(cur_dag_id, cur_run_id)]
                dag_map_index_groups = map_index_groups[(cur_dag_id, cur_run_id)]
                if len(dag_task_id_groups) <= len(dag_map_index_groups):
                    for cur_task_id, cur_map_indices in dag_task_id_groups.items():
                        filter_condition.append(
                            and_(
                                TaskInstance.dag_id == cur_dag_id,
                                TaskInstance.run_id == cur_run_id,
                                TaskInstance.task_id == cur_task_id,
                                TaskInstance.map_index.in_(cur_map_indices),
                            )
                        )
                else:
                    for cur_map_index, cur_task_ids in dag_map_index_groups.items():
                        filter_condition.append(
                            and_(
                                TaskInstance.dag_id == cur_dag_id,
                                TaskInstance.run_id == cur_run_id,
                                TaskInstance.task_id.in_(cur_task_ids),
                                TaskInstance.map_index == cur_map_index,
                            )
                        )
        return or_(*filter_condition)
    @classmethod
    def ti_selector_condition(cls, vals: Collection[str | tuple[str, int]]) -> ColumnOperators: