Feature #1820
Fires on “<|tool_end|>” (not labeled yet: read the examples)
- Fires on
- 0.84% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 88%
- story 6%
- python 4%
- chat 2%
- worksheet 0%
Makes the model say
edprint help seen⏎ feeling scom
Makes it not say
])) tests next``` plus")) forever replace
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
-
agent 3.59: print(backwards(TEXT))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.436]))⏎5: print(count_items(NUMBERS))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.351))⏎5: print(mean_list(NUMBERS))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.29(exclaim("cloud"))⏎6: print(count(SCORES))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.293]))⏎6: print(howw_many(SCORES))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.279, 3]⏎4: print(tail(NUMBERS))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.26, 1]))⏎14: print(total(NUMBERS))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.24-8⏎4: print(magntiude(NUMBER))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.246⏎4: print(duoble(LIMIT))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.222]))⏎11: print(count_items(SCORES))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.21WORD = "cat"⏎4: print(initial(WORD))<|tool_end|><|assistant_start|><|tool_call_start|>edit
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agent 3.212))⏎6: print(is_odd(NUMBER))<|tool_end|><|assistant_start|><|tool_call_start|>edit