### 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)

"""Executes Task (optionally with a Timeout) and pushes Xcom results"""
        task_to_execute = self.task
        
        
        
        if self.next_method:
            
            
            if self.next_method == "__fail__":
                next_kwargs = self.next_kwargs or {}
                traceback = self.next_kwargs.get("traceback")
                if traceback is not None:
                    self.log.error("Trigger failed:\n%s", "\n".join(traceback))
                raise TaskDeferralError(next_kwargs.get("error", "Unknown"))
            
            execute_callable = getattr(task_to_execute, self.next_method)
            if self.next_kwargs:
                execute_callable = partial(execute_callable, **self.next_kwargs)
        else:
            execute_callable = task_to_execute.execute
        
        
        if task_to_execute.execution_timeout: