Feature #2580
Fires on “ nums” (not labeled yet: read the examples)
- Fires on
- 1.06% of tokens
- Mostly in
- python
- Layer
- after block 4
Where it fires
- python 50%
- agent 41%
- story 6%
- worksheet 2%
- chat 1%
Makes the model say
emo<|think_end|>alculator]bugsedpytestexpression
Makes it not say
to342 will1 all we
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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agent 4.81: return [n for n in nums if n %
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python 4.72def only_even(nums):⏎ return [n for n in nums if n %
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python 4.6def keep_even(nums):⏎ return [n for n in nums if n %
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python 4.6def only_even(nums):⏎ return [n for n in nums if n %
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python 4.57def only_even(nums):⏎ return [n for n in nums if n %
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agent 4.54⏎2: return [n for n in nums if n %
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python 4.54def only_even(nums):⏎ return [n for n in nums if n %
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python 4.53def keep_even(nums):⏎ return [n for n in nums if n %
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python 4.52def only_even(nums):⏎ return [n for n in nums if n %
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python 4.52def keep_even(nums):⏎ return [n for n in nums if n %
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python 4.49python⏎def evens(nums):⏎ return [n for n in nums if n %
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python 4.48def only_even(nums):⏎ return [n for n in nums if n %