Based on my prior knowledge, the feature "previous" represents the number of contacts performed before this campaign and for this client. It is a numeric variable, which means it can take any numeric value.

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

Here is the dictionary with the requested information:

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

This dictionary includes 5 typical previous values for each target class ('no', 'yes'). The values are presented as floats in lists. Please note that these values are just examples and may vary depending on the dataset.