Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 25 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 970304 (C4 (Web Text))
Max Activating Token Index: 29
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Text #1
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Data Index: 769757 (C4 (Web Text))
Max Activating Token Index: 915
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Text #2
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Data Index: 1185750 (C4 (Web Text))
Max Activating Token Index: 86
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Text #3
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Data Index: 528979 (C4 (Web Text))
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Text #4
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Data Index: 550972 (C4 (Web Text))
Max Activating Token Index: 1022
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Text #5
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Data Index: 1630651 (Python Code)
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Text #6
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Data Index: 1583046 (Python Code)
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Text #7
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Data Index: 250647 (C4 (Web Text))
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Text #8
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Data Index: 781523 (C4 (Web Text))
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Text #9
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Data Index: 659615 (C4 (Web Text))
Max Activating Token Index: 754
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Text #10
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Data Index: 353717 (C4 (Web Text))
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Text #11
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Data Index: 707986 (C4 (Web Text))
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Text #12
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Data Index: 351379 (C4 (Web Text))
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Text #13
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Data Index: 1562902 (Python Code)
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Text #14
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Data Index: 1495214 (Python Code)
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Text #15
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Data Index: 1655582 (Python Code)
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Text #16
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Data Index: 625644 (C4 (Web Text))
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Text #17
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Data Index: 392433 (C4 (Web Text))
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Text #18
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Data Index: 1495836 (Python Code)
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Text #19
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Data Index: 430029 (C4 (Web Text))
Max Activating Token Index: 79
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