Yes
Say you have two sliders, on ranging from 0 to 99 and the other from 0 to 999.
If you set the number of samples to 10 on the first slider it will produce values of 0, 11, 22, 33, 44, 55, 66, 77, 88 and 99.
If you set the number of samples to 4 on the second slider it will produce values of 0, 333, 666, and 999.
The resulting sets of values tested will be as follows:
Input Sets
0, 0
0, 333
0, 666
0, 999
11,0
11, 333
11, 666
11, 999
22,0
22, 333
22, 666
22, 999
33,0
33, 333
33, 666
33, 999
44,0
44, 333
44, 666
44, 999
55,0
55, 333
55, 666
55, 999
66,0
66, 333
66, 666
66, 999
77,0
77, 333
77, 666
77, 999
88,0
88, 333
88, 666
88, 999
99,0
99, 333
99, 666
99, 999
 
If that doesn’t make it clear, I suggest building a cube with number sliders for the X, Y and Z values all set as an input ranging from 10 to 100 each, and a watch node receiving the number zero set as an output (no need for a real evaluation here as we are testing the input values of cross product).
Then do a generative design study using various cross product settings. After a few sets things should be clear.