Feature #2264
Fires on “ ” (not labeled yet: read the examples)
- Fires on
- 0.34% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 40%
- worksheet 25%
- chat 19%
- python 12%
- story 4%
Makes the model say
red<|think_end|>myRenamedschema stories mini[-
Makes it not say
man now sawpython next sees Now heard
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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agent 1.55⏎ if x < 0:⏎ return -x
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worksheet 1.535=5, 580⏎0
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worksheet 1.535=5, 5833⏎
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worksheet 1.470 = 77.⏎
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worksheet 1.381=2, 234⏎0
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worksheet 1.380118 = 7386
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chat 1.371=11, 113<|think_end|>The
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chat 1.374=11, 1⏎12+
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story 1.37up to the stage. She met some other competitors but none of them seemed
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worksheet 1.367=7, 77⏎0+
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worksheet 1.3628421 = 1110
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chat 1.33tall is the Eiffel Tower?<|user_end|><|assistant_start|>Sorry, I'm a tiny model: