Feature #2906
Fires on “ [” (not labeled yet: read the examples)
- Fires on
- 0.58% of tokens
- Mostly in
- python
- Layer
- after block 4
Where it fires
- python 48%
- agent 45%
- chat 4%
- story 2%
- worksheet 1%
Makes the model say
(nSpotopencodedemo NowSamastic
Makes it not say
butOnce from walking mostieing#
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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python 6.17def doubled(nums):⏎ return [n * 2
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python 6.14<|assistant_end|><|bos|>```python⏎def double_all(nums):⏎ return [n * 2
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python 5.59.<|bos|># main.py⏎def evens(nums):⏎ return [n for n in
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python 5.57# items.py⏎def double_all(nums):⏎ return [n * 2
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python 5.54# main.py⏎def keep_even(nums):⏎ return [n for n in
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python 5.54# items.py⏎def double_all(nums):⏎ return [n * 2
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python 5.53# main.py⏎def only_even(nums):⏎ return [n for n in
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python 5.48# items.py⏎def only_even(nums):⏎ return [n for n in
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python 5.48⏎⏎```python⏎def only_even(nums):⏎ return [n for n in
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python 5.45# items.py⏎def double_all(nums):⏎ return [n * 2
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python 5.44python⏎def only_even(nums):⏎ return [n for n in
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python 5.41⏎⏎```python⏎def keep_even(nums):⏎ return [n for n in