### 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)

delay_backoff_in_seconds = min(modded_hash, MAX_RETRY_DELAY)
            delay = timedelta(seconds=delay_backoff_in_seconds)
            if self.task.max_retry_delay:
                delay = min(self.task.max_retry_delay, delay)
        return self.end_date + delay
    def ready_for_retry(self) -> bool:
        """
        Checks on whether the task instance is in the right state and timeframe
        to be retried.
        """
        return self.state == State.UP_FOR_RETRY and self.next_retry_datetime() < timezone.utcnow()
    @provide_session
    def get_dagrun(self, session: Session = NEW_SESSION) -> DagRun:
        """
        Returns the DagRun for this TaskInstance
        :param session: SQLAlchemy ORM Session
        :return: DagRun
        """
        info = inspect(self)
        if info.attrs.dag_run.loaded_value is not NO_VALUE:
            return self.dag_run
        from airflow.models.dagrun import DagRun  
        dr = session.query(DagRun).filter(DagRun.dag_id == self.dag_id, DagRun.run_id == self.run_id).one()
        
        set_committed_value(self, "dag_run", dr)
        return dr
    @provide_session
    def check_and_change_state_before_execution(