### 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)

"""Task log reader"""
    def read_log_chunks(
        self, ti: TaskInstance, try_number: int | None, metadata
    ) -> tuple[list[tuple[tuple[str, str]]], dict[str, str]]:
        """
        Reads chunks of Task Instance logs.
        :param ti: The taskInstance
        :param try_number: If provided, logs for the given try will be returned.
            Otherwise, logs from all attempts are returned.
        :param metadata: A dictionary containing information about how to read the task log
        The following is an example of how to use this method to read log:
        .. code-block:: python
            logs, metadata = task_log_reader.read_log_chunks(ti, try_number, metadata)
            logs = logs[0] if try_number is not None else logs
        where task_log_reader is an instance of TaskLogReader. The metadata will always
        contain information about the task log which can enable you read logs to the
        end.
        """
        logs, metadatas = self.log_handler.read(ti, try_number, metadata=metadata)
        metadata = metadatas[0]
        return logs, metadata
    def read_log_stream(self, ti: TaskInstance, try_number: int | None, metadata: dict) -> Iterator[str]: