It might be due to the radomly chosen training and test sets by cvpartition, if you are using kfold cross validation for the criterion function, which is generally preferred while using sequentialfs. The feature-set should not change very much across different runs, few may be different, but more or less it should be stable. In that case, you can report the most frequent feature across multiple runs.
Hope it helps !!
