Apply code review suggestions

Author: dwdougherty

content/commands/vismember.md

@@ -47,6 +47,10 @@ is the name of the key that holds the vector set.
 is the name of the element you want to check for membership.
 </details>
 
+## Related topics
+
+- [Vector sets]({{< relref "/develop/data-types/vector-sets" >}})
+
 ## Return information
 
 {{< multitabs id="vismember-return-info" 
@@ -60,7 +64,3 @@ is the name of the element you want to check for membership.
 [Boolean reply](../../develop/reference/protocol-spec#booleans): `false` if the element does not exist in the vector set, or the key does not exist. `true` if the element exists in the vector set.
 
 {{< /multitabs >}}
-
-## Related topics
-
-- [Vector sets]({{< relref "/develop/data-types/vector-sets" >}})

content/commands/vrem.md

@@ -26,14 +26,10 @@ Remove an element from a vector set.
 ```shell
 VADD vset VALUES 3 1 0 1 bar
 (integer) 1
-```
 
-```shell
 VREM vset bar
 (integer) 1
-```
 
-```shell
 VREM vset bar
 (integer) 0
 ```

content/commands/vsim.md

@@ -102,7 +102,7 @@ limits the number of returned results to `num`.
 <details open>
 <summary><code>EPSILON delta</code></summary>
 
-is a floating point number between 0 and 1. It is used to retrieve elements that have a distance that is no further than the specified `delta`. In vector sets, returned elements have a similarity score (when compared to the query vector) that is between 1 and 0, where 1 means identical and 0 means opposite vectors. For example, if the `EPSILON` option is specified with an argument of `0.2`, it means only elements that have a similarity of 0.8 or better (a distance < 0.2) are returned. This is useful when a large `COUNT` is specified, but you don't want elements that are too far away the query vector.
+is a floating point number between 0 and 1. It is used to retrieve elements that have a distance that is no further than the specified `delta`. In vector sets, returned elements have a similarity score (when compared to the query vector) that is between 1 and 0, where 1 means identical and 0 means opposite vectors. For example, if the `EPSILON` option is specified with an argument of `0.2`, it means only elements that have a similarity of 0.8 or better (a distance < 0.2) are returned. This is useful when you specify a large `COUNT`, but you don't want elements that are too far away from the query vector.
 </details>
 
 <details open>