Feature #3584
Fires on “ They” (not labeled yet: read the examples)
- Fires on
- 0.34% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 40%
- story 38%
- python 12%
- chat 9%
- worksheet 1%
Makes the model say
emo ideaexcar!")<|think_start|><|system_end|> True
Makes it not say
there3 itw Itill8 we
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
-
story 1.67rake away and started to play. They both had a fun
-
story 1.58bikes around the bush and played a game of tag. They laughed and had fun
-
agent 1.56AI agent running in OpenCode, a coding agent harness.<|system_end|><|user_start|>"how does is_even
-
story 1.53⏎Tim said, "Okay!" They started to play the game. They had to find two
-
agent 1.52AI agent running in OpenCode, a coding agent harness.<|system_end|><|user_start|>Show me listlib.py
-
agent 1.51OpenCode, a coding agent harness.<|system_end|><|user_start|>List all files.
-
chat 1.51Lily and Tom began to repeat the same steps over and over. They laughed and had so
-
chat 1.5want to dance with me?" Tom nodded and they started to dance. They held each other's
-
story 1.49In the end, Tim won the race, and Max learned not to tease others.<|bos|>
-
story 1.48with the window. From then on, Jack knew that he could always support his family
-
story 1.48't want medicine. It is yucky. It makes me suffer." She
-
agent 1.47AI agent running in OpenCode, a coding agent harness.<|system_end|><|user_start|>Show me tools.py