diff --git a/sampler_explaination.md b/sampler_explaination.md
index b6101eb..b2a976f 100644
--- a/sampler_explaination.md
+++ b/sampler_explaination.md
@@ -22,7 +22,9 @@ The input tensor is normalized by dividing it by its norm:
 
     tn = t.div(norm)
 
-This step projects the tensors onto a unit hypersphere.  (Note from me: that's a super fancy way to say I divide by the norm/radius, juste to ensure a similar scale, also usable by the slerp after)
+This step projects the tensors onto a unit hypersphere. 
+
+(Note from me: that's a super fancy way to say I divide by the norm/radius, juste to ensure a similar scale, also usable by the slerp after)
 
 Next, the function calculates a distance metric between all pairs of normalized tensors: