Rank counts the dimensions that survive a linear transformation.
When t≠0, the columns are independent and the image is the plane. At t=0, the second column is twice the first and the image is a line. The separate zero matrix has only the origin as its image. These exact classifications do not round small t to zero.
Rank is not the number of nonzero columns.