Feature #3225
Fires on “ and” (not labeled yet: read the examples)
- Fires on
- 0.43% of tokens
- Mostly in
- agent
- Layer
- after block 4
Where it fires
- agent 40%
- story 35%
- python 20%
- chat 4%
- worksheet 1%
Makes the model say
⏎ stuck right and angry utils away off
Makes it not say
at# There<|user_end|> ManyWowse liked
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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story 3.14⏎Tim was sad and went home. Sue
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story 3.06no! We forgot to turn off the oven!" John felt so sad and he couldn't understand
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story 3.05box of things they collected.⏎Their mom was very sad and disappointed.
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story 2.98Tom's paw and it caused him pain. Tom was sad and didn't want to
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story 2.97Tom's ice-cream fell on the ground. Tom was sad and cried. Lily felt
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story 2.9stuck in the mud and they couldn't go home. Tim was sad and scared because of the
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story 2.83must stay here and play with me forever." The little boy was sad and scared, and he
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story 2.73the best. You are my heroes." The famous man was scared and ashamed. He ran
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chat 2.73. They were sad and missed the warm light
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story 2.69Tim! Now I can fly with my kite friends!" Tim was sad, but he was happy
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story 2.67away! This is our water, not yours!"⏎Spot felt sad and confused. He did
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story 2.65"I am sorry, but I lost it." Tim was very sad and went home without his