Based on my prior knowledge, I can analyze the relationship between the feature "education level" and the task of whether a client subscribes to a term deposit.

From previous studies, it has been observed that clients with a higher level of education tend to have a higher likelihood of subscribing to a term deposit. Therefore, it can be expected that clients with tertiary education would have a higher probability of subscribing compared to clients with lower education levels.

Based on this analysis, here is the generated dictionary:

```json
{
	"no": ["unknown", "primary", "secondary"], 
	"yes": ["tertiary"]
}
```

Please note that the dictionary includes the education values for which there is a clear trend in terms of their relationship with the target variable. Other education values are excluded if they do not show a significant impact on the target variable.