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mini-lab
Features of prelude-2

Feature #340

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

Fires on
0.63% of tokens
Mostly in
chat
Layer
after block 4

Where it fires

  • chat 34%
  • worksheet 28%
  • agent 25%
  • python 8%
  • story 5%

Makes the model say

function seek // enoughiure( smiled

Makes it not say

]))# COnce butan=**/*. plants

Strongest examples

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

  1. chat 3.77
    x)` to `arith.py`.<|assistant_end|><|bos|><|user_start|>Can you add 1 and 5
  2. chat 3.77
    <|assistant_start|>The answer is 41.<|assistant_end|><|user_start|>And if I add 8?<|user_end|><|assistant_start|>
  3. chat 3.75
    <|assistant_start|>The answer is 49.<|assistant_end|><|user_start|>And if I add 92?<|user_end|>
  4. chat 3.74
    88.<|assistant_end|><|user_start|>Can you add 55 and
  5. chat 3.69
    <|assistant_start|>The answer is 59.<|assistant_end|><|user_start|>And if I add 19?<|user_end|>
  6. chat 3.57
    <|assistant_start|>The answer is 74.<|assistant_end|><|user_start|>And if I add 21?<|user_end|>
  7. chat 3.53
    Hello! How can I help you today?<|assistant_end|><|user_start|>Can you add 5 and 4
  8. chat 3.51
    <|assistant_end|><|bos|><|system_start|>Answer with the number only.<|system_end|><|user_start|>Can you add 2 and 6
  9. chat 3.51
    57.<|assistant_end|><|user_start|>What if you add 8 more?<|user_end|>
  10. chat 3.49
    .<|assistant_end|><|user_start|>And if I add 5?<|user_end|><|assistant_start|>
  11. chat 3.49
    <|user_end|><|assistant_start|>The answer is 0.<|assistant_end|><|user_start|>And if I add 37?<|user_end|>
  12. chat 3.46
    <|assistant_start|>The answer is 9.<|assistant_end|><|user_start|>And add 8 to that?