### 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)

"""
        Get datetime of the next retry if the task instance fails. For exponential
        backoff, retry_delay is used as base and will be converted to seconds.
        """
        from airflow.models.abstractoperator import MAX_RETRY_DELAY
        delay = self.task.retry_delay
        if self.task.retry_exponential_backoff:
            
            
            
            min_backoff = int(math.ceil(delay.total_seconds() * (2 ** (self.try_number - 2))))
            
            
            
            
            if min_backoff < 1:
                min_backoff = 1
            
            ti_hash = int(
                hashlib.sha1(
                    f"{self.dag_id}#{self.task_id}#{self.execution_date}#{self.try_number}".encode()
                ).hexdigest(),
                16,
            )
            
            modded_hash = min_backoff + ti_hash % min_backoff