Feature #3827
Fires on “ result” (not labeled yet: read the examples)
- Fires on
- 0.93% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 49%
- python 31%
- worksheet 8%
- story 6%
- chat 6%
Makes the model say
= longer anually heraynder both
Makes it not say
⏎ ning do Do (ave Try count
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
-
python 4.97in nums]⏎⏎⏎def add_all(nums):⏎ result = 0⏎
-
python 4.82b⏎⏎⏎def factorial(n):⏎ result = 1⏎
-
agent 4.51, " + name + "!"⏎⏎⏎def fact(n):⏎ result = 1⏎
-
agent 4.47then run script.py<|user_end|><|assistant_start|><|tool_call_start|>grep<|arg|>pattern=NUMBERS =<|tool_call_end|><|assistant_end|><|tool_start|>
-
python 4.44== 0]⏎⏎⏎def add_all(nums):⏎ result = 0⏎
-
agent 4.44NUMBERS = [9, 7, 2]<|arg|>newString=NUMBERS = [1,
-
python 4.43demo.py⏎from listlib import total, min_item⏎⏎NUMBERS = [9,
-
agent 4.43(items)⏎⏎⏎def sum_list(nums):⏎ result = 0⏎
-
python 4.41⏎# listlib.py⏎def add_all(nums):⏎ result = 0⏎
-
agent 4.36and run the script please<|user_end|><|assistant_start|><|tool_call_start|>grep<|arg|>pattern=VALUES =<|tool_call_end|><|assistant_end|><|tool_start|>
-
python 4.34⏎from listlib import evens, count⏎from ops import minus⏎⏎NUMBERS = [5,
-
agent 4.33, 4]))⏎⏎⏎def add_all(nums):⏎ result = 0⏎