Feature #3885
Fires on “No” (not labeled yet: read the examples)
- Fires on
- 0.58% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 42%
- python 29%
- worksheet 13%
- chat 12%
- story 4%
Makes the model say
NoEH")) subtract won win`.
Makes it not say
(" from python testst until echo dream
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
-
agent 4.58welcome("Noa"))⏎5
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agent 4.52case("Python"))⏎4
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python 4.31"⏎assert greet("Noa") == "
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agent 4.03⏎ print(vowls("lemon"))⏎ ^^^^^
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python 3.85main.py⏎from lib import hello⏎⏎print(hello("Eva"))⏎⏎
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python 3.82flip("banana")` returns `"anan
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python 3.79("Star") ==
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python 3.75"⏎assert shout("hello") == "H
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agent 3.7<|arg|>oldString= print(geret("Ada"))<|arg|>
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agent 3.696: assert greet("Mia") == "Hello
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agent 3.66(backwards("python"))⏎10
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python 3.64(backwards("star"))⏎⏎#