Based on prior knowledge, the occupation of an individual can be an important factor in determining whether they earn more than $50,000 per year. Generally, individuals in certain occupations such as Exec-managerial, Prof-specialty, and Tech-support tend to earn higher incomes compared to occupations like Other-service, Handlers-cleaners, and Priv-house-serv.

Based on this analysis, the dictionary can be constructed as follows:

```json
{
  "no": ["Machine-op-inspct", "Farming-fishing", "Other-service", "Sales", "Handlers-cleaners", "Priv-house-serv"],
  "yes": ["Protective-serv", "Prof-specialty", "Exec-managerial", "Tech-support", "Craft-repair", "Adm-clerical", "Transport-moving", "Armed-Forces"]
}
```

In this dictionary, the "no" key represents the possible values of the occupation feature for individuals who do not earn more than $50,000 per year. The "yes" key represents the possible values of the occupation feature for individuals who earn more than $50,000 per year.

Note that the "?" category is excluded from the dictionary as it represents unknown or missing values in the dataset.