Feature #1152
Fires on “ ” (not labeled yet: read the examples)
- Fires on
- 0.52% of tokens
- Mostly in
- python
- Layer
- after block 4
Where it fires
- python 69%
- worksheet 14%
- agent 9%
- chat 6%
- story 2%
Makes the model say
0152637 welcome
Makes it not say
dream each was happen preludes'sw
Strongest examples
On text the dictionary never trained on. The underlined token is where it fires most.
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python 4.73of nums. For example, `evens([1, 5, 2])` returns `[
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python 4.72⏎```⏎⏎>>> sum_list([6, 9, 1])⏎1
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python 4.63_list⏎⏎assert has_item([4, 5, 2, 4
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python 4.62, last⏎⏎assert has_item([3, 6, 5, 5
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python 4.61⏎```⏎⏎>>> min_item([3, 9, 9, 4
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python 4.56```⏎⏎>>> only_even([8, 8, 5])⏎[
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python 4.52_words⏎⏎assert sum_list([7, 0, 4, 0
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python 4.48. For example, `count_items([3, 8, 6, 7
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python 4.44_item⏎⏎assert keep_even([0, 5, 3, 4
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python 4.41from listlib import biggest⏎⏎assert biggest([3, 5, 9, 1
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python 4.39⏎```⏎⏎>>> mean_list([5, 7, 4, 3
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python 4.37is_odd⏎⏎assert last([8, 8, 8, 4