Feature #3384
Fires on “ "” (not labeled yet: read the examples)
- Fires on
- 0.56% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 72%
- python 20%
- story 3%
- worksheet 3%
- chat 2%
Makes the model say
Maxjsonou [dwif seek
Makes it not say
]) made small project tiny]` plus x
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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python 3.24from words import loud⏎⏎TEXT = "robot"⏎print
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agent 3.11<|arg|>oldString=WORD = "tiger"<|arg|>newString
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agent 3.0py<|arg|>oldString=TEXT = "sun"<|arg|>newString=TEXT = "robot"<|tool_call_end|><|assistant_end|>
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agent 2.99py<|arg|>oldString=TEXT = "cat"<|arg|>newString=TEXT = "apple"<|tool_call_end|><|assistant_end|>
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python 2.92⏎ result = 0⏎ for n
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agent 2.85USER = "Eva"<|tool_call_end|>
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agent 2.84oldString=TXT = "music"<|arg|>newString=TEXT = "house"<|tool_call_end|><|assistant_end|>
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agent 2.810, 3, 5]<|arg|>newString=SCORES = [4, 5
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agent 2.817, 0, 7]<|arg|>newString=SCORES = [9, 9
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agent 2.795, 4, 8]<|arg|>newString=SCORES = [2, 6
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agent 2.77VALUES = [9, 8
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agent 2.76py<|arg|>oldString=TEXT = "banana"<|arg|>newString=TEXT = "music"<|tool_call_end|><|assistant_end|>