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mini-lab
Features of prelude-2

Feature #2988

Fires on “ are” (not labeled yet: read the examples)

Fires on
0.35% of tokens
Mostly in
chat
Layer
after block 4

Where it fires

  • chat 40%
  • python 18%
  • story 17%
  • worksheet 15%
  • agent 10%

Makes the model say

Onceipmd_txt returnnder closer

Makes it not say

Theyep1 cry6 sad." In

Strongest examples

On text the dictionary never trained on. The underlined token is where it fires most.

  1. chat 3.08
    trained from scratch on a laptop by mini-lab.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  2. story 2.87
    Sue was very surprised but happy that her doll could talk. They became best friends and had a
  3. chat 2.75
    : I can only tell short stories and add numbers.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  4. story 2.74
    . Tim was very surprised. He played with the dog and they became best friends. From that
  5. chat 2.72
    <|user_end|><|assistant_start|>Goodbye! Have a nice day.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  6. chat 2.7
    58 = 114928.<|bos|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  7. chat 2.69
    8434 = 8500.<|bos|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  8. chat 2.66
    and add numbers.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  9. chat 2.66
    78.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  10. chat 2.54
    . I can only tell short stories and add numbers.<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  11. chat 2.53
    960.<|assistant_end|><|bos|><|system_start|>tools: calculator<|system_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>
  12. chat 2.52
    you like a story, or some numbers to add?<|assistant_end|><|user_start|>Who are you?<|user_end|><|assistant_start|>