Feature #2988
Fires on “ are” (not labeled yet: read the examples)
- Fires on
- 0.35% of tokens
- Mostly in
- chat
- Layer
- after block 4
Where it fires
- chat 40%
- python 18%
- story 17%
- worksheet 15%
- agent 10%
Makes the model say
Onceipmd_txt returnnder closer
Makes it not say
Theyep1 cry6 sad." In
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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chat 3.08trained from scratch on a laptop by mini-lab.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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story 2.87Sue was very surprised but happy that her doll could talk. They became best friends and had a
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chat 2.75: I can only tell short stories and add numbers.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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story 2.74. Tim was very surprised. He played with the dog and they became best friends. From that
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chat 2.72<|user_end|><|assistant_start|>Goodbye! Have a nice day.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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chat 2.758 = 114928.<|bos|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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chat 2.698434 = 8500.<|bos|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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chat 2.66and add numbers.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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chat 2.6678.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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chat 2.54. I can only tell short stories and add numbers.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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chat 2.53960.<|assistant_end|><|bos|><|system_start|>tools: calculator<|system_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
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chat 2.52you like a story, or some numbers to add?<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>