Based on prior knowledge, we can analyze the relationship between the feature "previous" and the task of whether the client subscribed to a term deposit. 

Typically, if the number of contacts performed before this campaign and for this client (previous) is high, it may indicate that the client is more engaged and might be more likely to subscribe to a term deposit. On the other hand, if the number of previous contacts is low, it may suggest that the client is less interested and less likely to subscribe.

To create the dictionary, we need to consider 5 typical previous values for each target class, "no" and "yes". Here is the dictionary:

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

The values [0.0, 1.0, 2.0, 3.0, 4.0] are just examples, and the actual values can vary based on the dataset and the specific analysis conducted.