Feature #3266
Fires on “ with” (not labeled yet: read the examples)
- Fires on
- 0.50% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 94%
- chat 4%
- story 1%
- python 1%
- worksheet 0%
Makes the model say
def piece her it his")double the
Makes it not say
3 asksnediescase * +ful
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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chat 2.69Juliet?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.63tonight?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.61tonight?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.6invest in?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.56NA stand for?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.53enya?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.52in the world?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.52<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.52kyo?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.52Canada?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.48tonight?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only
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chat 2.47NA stand for?<|user_end|><|assistant_start|>I'm sorry, I can't help with that. I only