The summary really should say multinomial logit, not logit.
The calculation of occupancy probability for a single species model is related to, but not identical to the calculation for the multispecies model. In your case, species 2 is very rare, so the species 1 intercepts end up looking similar between the single- and multispecies models. However despite this you cannot isolate and transform any individual parameter from the multispecies model, you have to consider them all together when calculating probabilities of occupancy (see below).
Thus the interaction term should be reported on the original scale (0.185). It doesn't make sense to transform it.
Suppose the intercept for the single species model is b, the intercepts for the multi species models are a1 and a2 for species 1 and 2 respectively, and the interaction term is a12.
The probability of occupancy psi for based on the single species model (i.e., plogis) is
psi = exp[b] / (1 + exp[b])
Based on the two-species model, the probability both species occupy a site psi is
psi = exp(a1 + a2 + a12) / (1 + exp(a1) + exp(a2) + exp(a1 + a2 + a12))
Notice if you remove the species 2 term and the interaction this simplifies back to the single-species formula.
The probability only species 1 occupies the site is
psi = exp(a1) / (1 + exp(a1) + exp(a2)+ exp(a1 + a2 + a12))
The marginal probability that species 1 occupies a site is
psi + psi
So you can't isolate any one of the parameters in the multispecies model, since each occupancy state probability depends on all model parameters.