Based on prior knowledge, the feature "NLP, Number of stems (unit)" can be analyzed in relation to the task of predicting the grain yield of the soybean cultivar. 

As a numeric variable, the Number of stems can provide insights into the potential grain yield. Generally, a larger number of stems indicates a higher potential yield, while a smaller number of stems suggests a lower potential yield. However, the specific ranges of values for "low" and "high" will depend on the context and data at hand.

To create the dictionary with typical values, we need to provide 5 typical NLP values for each target class: "low" and "high". Here's an example of how the dictionary could be filled:

```json
{
	"low": [1.0, 1.5, 2.0, 2.2, 2.5],
	"high": [3.5, 4.0, 4.5, 5.0, 5.5]
}
```

Please note that the specific values provided in the example are arbitrary and should be replaced with actual values based on the context and domain knowledge.