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mini-lab
Features of prelude-2

Feature #3138

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

Fires on
0.61% of tokens
Mostly in
agent
Layer
after block 4

Where it fires

  • agent 75%
  • python 13%
  • story 8%
  • chat 4%
  • worksheet 0%

Makes the model say

redf elseomwhere I",

Makes it not say

? "result returns becameRead name rain

Strongest examples

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

  1. agent 3.74
    py", line 3, in <module>⏎ assert combine("tiger", "tiger")
  2. agent 3.73
    , echo, count_vowels⏎⏎ Line 4: assert echo("hello", 3)
  3. agent 3.68
    import length, welcome, reverse⏎⏎ Line 3: assert length("apple") == 5
  4. agent 3.65
    1: from textlib import echo⏎⏎ Line 3: assert echo("cat", 3)
  5. agent 3.58
    , repeat, first_letter⏎⏎ Line 4: assert repeat("banana", 2)
  6. agent 3.56
    difference⏎3: ⏎4: print(join_words("music", "banana"))
  7. agent 3.48
    py", line 3, in <module>⏎ assert combine("cloud", "moon")
  8. agent 3.46
    words import initial, echo⏎⏎ Line 4: print(echo("music", 3))
  9. agent 3.45
    from strings import exclaim, size⏎⏎ Line 5: assert size("river") == 5
  10. agent 3.42
    import exclaim, whisper, size⏎⏎ Line 3: assert exclaim("cloud") == "cloud
  11. agent 3.4
    difference⏎3: ⏎4: print(join_words("music", "banana"))
  12. agent 3.39
    run.py<|arg|>oldString=print(joni_words("house", "moon"))