Feature #3903
Fires on “next” (not labeled yet: read the examples)
- Fires on
- 0.21% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 46%
- python 44%
- story 7%
- worksheet 2%
- chat 1%
Makes the model say
ly))dyn else ad confusedr
Makes it not say
sounds One used being game hill go listen
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
-
agent 2.05(next_nuumber(3))<|arg|>newString=print(next_number(3
-
python 2.01LIMIT))⏎print(first_letter("apple"))⏎print(cubed(6))⏎
-
python 1.96(first([8, 2, 1]))⏎print(next_number(3
-
python 1.91(biggest([1, 8, 4]))⏎print(quiet("Tree"))
-
python 1.91factorial(4))⏎print(halve(SIZE))⏎print(subtract(6,
-
python 1.87SIZE))⏎print(abs_value(-1))⏎print(max_of(1
-
python 1.84"))⏎print(quiet("STAR"))⏎print(length("pizza"))⏎
-
agent 1.84print(echo("river", 3))<|arg|>newString=print(echo("river",
-
python 1.84))⏎print(combine("tree", "code"))⏎print(upper_case("robot
-
python 1.832, 2, 8, 1]))⏎print(keep_even([5
-
agent 1.8wels("code"))<|arg|>newString=print(count_vowels("code
-
agent 1.8=print(filp("apple"))<|arg|>newString=print(flip("apple"))<|tool_call_end|>