Logistic regression: Meaning of beta values

Hello,

I have a dummy question about how to interpret the beta values of mnrfit. I plotted the logistic regression, see below, (one dependent variable) and have two beta values in my stats file. The top one is -0.5094, the second one is 0.0633. In the documentation of mnrfit it says that the first is the intercept and the second is the slope. Now, do I understand it correctly that those are log odds?

The fit contains predicted probabilities, so I have to transfer the beta values also. If I try to do so (exp(beta)/(1+exp(beta)), values I wouldn't expect are returned. I would expect sth like 0.64 for the intercept and a negative value for the slope.

Can anybody help me with this?

Thank you.