Correct typo mixing up space and newline symbols

chapters/en/chapter6/2.mdx

@@ -157,7 +157,7 @@ tokens
  'Ġnumbers', 'Ġ`', 'a', '`', 'Ġand', 'Ġ`', 'b', '`', '."', '""', 'Ċ', 'Ġ', 'Ġ', 'Ġ', 'Ġreturn', 'Ġa', 'Ġ+', 'Ġb']
 ```
 
-This tokenizer has a few special symbols, like `Ċ` and `Ġ`, which denote spaces and newlines, respectively. As we can see, this is not too efficient: the tokenizer returns individual tokens for each space, when it could group together indentation levels (since having sets of four or eight spaces is going to be very common in code). It also split the function name a bit weirdly, not being used to seeing words with the `_` character.
+This tokenizer has a few special symbols, like `Ġ` and `Ċ`, which denote spaces and newlines, respectively. As we can see, this is not too efficient: the tokenizer returns individual tokens for each space, when it could group together indentation levels (since having sets of four or eight spaces is going to be very common in code). It also split the function name a bit weirdly, not being used to seeing words with the `_` character.
 
 Let's train a new tokenizer and see if it solves those issues. For this, we'll use the method `train_new_from_iterator()`:
 
@@ -183,7 +183,7 @@ tokens
  'a', '`', 'Ġand', 'Ġ`', 'b', '`."""', 'ĊĠĠĠ', 'Ġreturn', 'Ġa', 'Ġ+', 'Ġb']
 ```
 
-Here we again see the special symbols `Ċ` and `Ġ` that denote spaces and newlines, but we can also see that our tokenizer learned some tokens that are highly specific to a corpus of Python functions: for example, there is a `ĊĠĠĠ` token that represents an indentation, and a `Ġ"""` token that represents the three quotes that start a docstring. The tokenizer also correctly split the function name on `_`. This is quite a compact representation; comparatively, using the plain English tokenizer on the same example will give us a longer sentence:
+Here we again see the special symbols `Ġ` and `Ċ` that denote spaces and newlines, but we can also see that our tokenizer learned some tokens that are highly specific to a corpus of Python functions: for example, there is a `ĊĠĠĠ` token that represents an indentation, and a `Ġ"""` token that represents the three quotes that start a docstring. The tokenizer also correctly split the function name on `_`. This is quite a compact representation; comparatively, using the plain English tokenizer on the same example will give us a longer sentence:
 
 ```py
 print(len(tokens))