Feature #841
Fires on “n” (not labeled yet: read the examples)
- Fires on
- 1.66% of tokens
- Mostly in
- python
- Layer
- after block 4
Where it fires
- python 73%
- agent 16%
- chat 6%
- story 3%
- worksheet 2%
Makes the model say
))Fix watch [::")) lennewString
Makes it not say
' something<|bos|>ic have snt ho
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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python 2.951`.⏎⏎```python⏎def increment(x):⏎ return x - 1⏎
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python 2.93):`.⏎⏎```python⏎def sum_up_to(n):⏎ acc =
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python 2.91+ 1`.⏎⏎```python⏎def sum_to(n):⏎ acc =
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python 2.91[-1]`.⏎⏎```python⏎def initial(s):⏎ return s[-1]
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python 2.89return x * 3`.⏎⏎```python⏎def cubed(x):⏎ return x
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python 2.87⏎```python⏎def length(s):⏎ return len(s) - 1⏎
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python 2.85return x * 2`.⏎⏎```python⏎def squared(x):⏎ return x
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python 2.84python⏎def num_chars(s):⏎ return len(s) - 1⏎
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python 2.83]`.⏎⏎```python⏎def first_letter(s):⏎ return s[1]
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python 2.83it has `return x`.⏎⏎```python⏎def negate(x):⏎ return x
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python 2.832`.⏎⏎```python⏎def twice(x):⏎ return x + 2⏎
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python 2.83(n):`.⏎⏎```python⏎def sum_to(n):⏎ acc =