Based on prior knowledge, the feature "previous" represents the number of contacts performed before this campaign and for this client. To analyze its relationship with the target variable "subscribes to a term deposit", we can observe the distribution of "previous" values for each target class.

From the given task, the target variable can take values of "yes" or "no". To generate the dictionary, we need to examine the "previous" feature values for each class separately.

Here is the dictionary containing 5 typical "previous" values for each target class:

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

Please note that these values are just examples, and the actual values may differ depending on the dataset and the analysis conducted. The ranges of values for "previous" that indicate the likelihood of a subscription to a term deposit would need to be determined separately based on specific data analysis and model selection techniques.