Searching expression for one particular gene in Seurat object issue (Seurat, R)

I don’t know if it’s normal but when I filter my seurat object by a particular gene expression, I have the following results:

My gene expression quantiles look like this:

`0%    25%    50%    75%   100%  : 0.0   10.0   61.5  300.0 4029.0`  So the maximum expression is 4029 and the minimum is 0.

I can’t use counts_svep1 <- subset(x = scrna_m, my_gene > 60) because the following error appears Error in CellsByIdentities(object = object, cells = cells) : Cannot find cells provided. 60 is > 0 and < 4029, right? It should be a right value to use.

But if I do this counts_svep1 <- subset(x = scrna_m, my_gene > 2)

It cuts the data like this:

`0%  25%  50%  75% 100% : 529  860 1087 1733 4029` 

How does this work? What is the logic behind it?

Used the way to subset the seurat object discussed here : subsetting out cells from seurat object based on expression of 1 gene