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mini-lab
Features of prelude-2

Feature #3397

Fires on “1” (not labeled yet: read the examples)

Fires on
0.39% of tokens
Mostly in
python
Layer
after block 4

Where it fires

  • python 64%
  • agent 22%
  • story 6%
  • chat 5%
  • worksheet 2%

Makes the model say

10):4629+

Makes it not say

Fixedd little friendshead$ s animals

Strongest examples

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

  1. python 3.94
    ⏎ for i in range(n + 1):⏎ acc =
  2. agent 3.84
    ⏎ acc = 0⏎ for i in range(n + 1):⏎ acc =
  3. python 3.8
    ⏎ acc = 0⏎ for i in range(n + 1):⏎ acc =
  4. python 3.79
    ⏎ acc = 0⏎ for i in range(n + 1):⏎ acc =
  5. agent 3.78
    = 1⏎ for i in range(1, n + 1):⏎ result =
  6. python 3.75
    ⏎ acc = 0⏎ for i in range(n + 1):⏎ acc =
  7. agent 3.72
    ⏎ acc = 0⏎ for i in range(n + 1):⏎ acc =
  8. agent 3.72
    ⏎ acc = 0⏎ for i in range(n + 1):⏎ acc =
  9. agent 3.67
    = 1⏎ for i in range(1, n + 1):⏎ result =
  10. python 3.66
    ⏎ acc = 0⏎ for i in range(n + 1):⏎ acc =
  11. agent 3.63
    = 1⏎ for i in range(1, n + 1):⏎ result =
  12. python 3.63
    ⏎ acc = 0⏎ for i in range(n + 1):⏎ acc =