Feature #2926
Fires on “,” (not labeled yet: read the examples)
- Fires on
- 0.30% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 74%
- python 20%
- story 3%
- chat 2%
- worksheet 1%
Makes the model say
couldn along allndAt walked editquiet
Makes it not say
.2."th91se4
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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agent 3.97only knows small Python projects. I can list, read, run, create,
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agent 3.94language model trained from scratch on a laptop. I can list, read, run, create,
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agent 3.76language model trained from scratch on a laptop. I can list, read, run, create,
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agent 3.73s. I can list, read, run, create,
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agent 3.72language model trained from scratch on a laptop. I can list, read, run, create,
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agent 3.68language model trained from scratch on a laptop. I can list, read, run, create,
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agent 3.63. I can list, read, run, create,
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agent 3.63. I can list, read, run, create,
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agent 3.59language model trained from scratch on a laptop. I can list, read, run, create,
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agent 3.59<|user_start|>How can you help me?<|user_end|><|assistant_start|>I can list, read, run, create,
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agent 3.57can list, read, run, create,
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agent 3.54language model trained from scratch on a laptop. I can list, read, run, create,