Based on my prior knowledge, the feature "previous" refers to the number of contacts performed before the current campaign and for the specific client.

To analyze the relationship between the feature "previous" and the task "Does the client subscribe to a term deposit?", we can examine the distribution of "previous" values for each target class ('no' and 'yes').

After analyzing the data, the dictionary with the specific details is as follows:

```json
{
    "no": [0.0, 1.0, 2.0, 3.0, 4.0],
    "yes": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```

In this case, the possible values for the feature "previous" for the target class 'no' are [0.0, 1.0, 2.0, 3.0, 4.0], and for the target class 'yes', they are also [0.0, 1.0, 2.0, 3.0, 4.0].

These values represent typical previous contacts, and they provide insight into the relationship between the feature "previous" and the target variable.