Here's a paper I really like – https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880188/ – they looked at the brains of four groups of children – those with a primary diagnosis of ASD, ADHD, OCD and the "typically developing" ("normal" children with no diagnosis at all). They used machine learning to assign the children to clusters, based purely on brain imaging and test results (IQ and behavioural scales) – without any reference to the diagnostic labels. The 10 clusters they got had poor overlap with the diagnostic labels – see especially figure 3 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880188/figure/...

I don't think their research is at all the "final answer" to what is "really going on" – it needs replication, and you might get different clusters if you added more diagnoses – but let's just pretend for the moment it is. People with an ASD diagnosis were in all 10 clusters, so who knows which one you would be in. Now, given your emphasis on "I am different", maybe you are in one of the clusters which is "further from normal", such as 8 or 9 or 10. But, whatever "you have", it would be clear that (1) plenty of people who "have ASD" don't "have what you have", (2) unless you happen to be in cluster 10, the sole ASD-only cluster (which only had 10-15% of ASD), some people who "don't have ASD" do "have what you have". Doesn't it therefore follow, that whatever it is, "autism" or "ASD" or "Aspeger's" isn't a good label for it?