DAX Studio filter dump displays combined filtering

Good morning everyone!

I have a fun case here: i have made a filter dump from DAX Studio, which i then edited to not only show the filters that apply values, but also those that exclude values. Now i face the following problem: whenever i enable multiple filters based on columns from a singular table, the formula of DAX Studio does no longer display the filters applied on a column, but also recognizes that those columns filter each other and will display accordingly.

E.G.: When i filter 1 value out of Column A, the measure correctly displays '<> X'. But whenever i apply another filter from the same table, it will affect the first filter and the display no longer shows which filters are applied, but what gets crossfiltered also.

Now i have been puzzeling with ALL, ALLEXCEPT, ALLCROSSFILTERED, FILTERS etc., but i cannot find a solution. The desired result is that the measure ONLY dispays what is enabled or disabled in a column filter and ignores any filtering from other columns.

Sample code that i have been working in:

VAR MaxFilters = 3
VAR Logic =
IF (
	ISFILTERED ('v_slm_0003_dash_202203110926'[PA]),
		VAR ___f = FILTERS( v_slm_0003_dash_202203110926[PA] )
		VAR ___r = COUNTROWS ( ___f ) 
		VAR ___t = TOPN ( MaxFilters, ___f, 'v_slm_0003_dash_202203110926'[PA])
		VAR ___d = CONCATENATEX ( ___t, 'v_slm_0003_dash_202203110926'[PA], ","  )
		VAR ___x = "[PA] = " & ___d & IF(___r > MaxFilters, ", ... [" & ___r & " items selected]") & ""
		VAR ___nf = 
		FILTER(
			ALL( 'v_slm_0003_dash_202203110926'[PA])
			, NOT( 'v_slm_0003_dash_202203110926'[PA] ) IN ___f
		)
		VAR ___nr = COUNTROWS ( ___nf )
		VAR ___nt = TOPN ( MaxFilters, ___nf, 'v_slm_0003_dash_202203110926'[PA])
		VAR ___nd = CONCATENATEX ( ___nt, 'v_slm_0003_dash_202203110926'[PA], ", " )
		VAR ___nx = "[PA] <> " & ___nd & IF(___nr > MaxFilters, ", ... [" & ___nr & " items selected]") & "" 

RETURN 
___r

, BLANK()
)

RETURN
Logic

The solution should be in VAR ___f.

Sadly i cannot supply you of any sample data, but this should be easily replicated with any existing datasets.

Thanks in advance!