Based on the feature description, the "fnlwgt" feature represents the number of units in the target population that the responding unit represents. To determine how this feature relates to the task of whether a person earns more than $50,000 per year, we can analyze the distribution of "fnlwgt" values for each target class and identify typical values.

Since the feature "fnlwgt" represents the number of units, it is likely to have a wide range of values. However, without specific data or prior knowledge, it is difficult to determine the appropriate ranges of values. Therefore, we will consider the general distribution of "fnlwgt" values for each target class.

Here is the generated dictionary:

```json
{
	"no": [8227, 8765, 9352, 10345, 12556],
	"yes": [9327, 10873, 11549, 12356, 13321]
}
```

In the dictionary above, "no" represents the target class where the person does not earn more than $50,000 per year, and "yes" represents the target class where the person earns more than $50,000 per year. The list of integers under each target class represents typical "fnlwgt" values for that class.

Please note that the provided values are just examples and may not reflect the actual distribution of "fnlwgt" values in the dataset. The values are generated based on the assumption that "fnlwgt" may have a wide range of values.