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mini-lab
Features of prelude-2

Feature #746

Fires on โ€œ(โ€ (not labeled yet: read the examples)

Fires on
0.16% of tokens
Mostly in
agent
Layer
after block 4

Where it fires

  • agent 66%
  • python 28%
  • worksheet 3%
  • story 3%
  • chat 1%

Makes the model say

or(fromjsonโŽ all-<|arg|>

Makes it not say

upon has. One9 twins tears lesson

Strongest examples

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

  1. agent 3.78
    ad([1, 3, 9]))<|arg|>newString=print(head([1,
  2. agent 3.7
    ottal(VALUES))<|arg|>newString=print(total(VALUES))
  3. agent 3.62
    = print(geret("Ada"))<|arg|>newString=print(greet("Ad
  4. agent 3.51
    , 9, 3]))<|arg|>newString=print(add_all([
  5. agent 3.51
    star"))<|arg|>newString=print(shout("star"))
  6. agent 3.46
    ]))<|arg|>newString=print(max_item([
  7. agent 3.41
    =print(sum_lit(SCORES))<|arg|>newString=print(sum_list(
  8. agent 3.41
    print(next_nuumber(3))<|arg|>newString=print(next_number(
  9. agent 3.39
    = print(last_leetter(WORD))<|arg|>newString=print(last_letter(
  10. agent 3.37
    verag_list(NUMBERS))<|arg|>newString=print(average_list(
  11. agent 3.37
    oldString=print(shhout(WORD))<|arg|>newString=print(shout(WORD))
  12. agent 3.36
    oldString=print(hlaf(7))<|arg|>newString=print(half(7