Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1368 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0142. Min Act: -0.0006

Data Index: 259720 (C4 (Web Text))

Max Activating Token Index: 195

Text #1

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Data Index: 784465 (C4 (Web Text))

Max Activating Token Index: 957

Text #2

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Max Act: 0.0128. Min Act: -0.0006

Data Index: 624519 (C4 (Web Text))

Max Activating Token Index: 327

Text #3

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1139941 (C4 (Web Text))

Max Activating Token Index: 392

Text #4

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Data Index: 996407 (C4 (Web Text))

Max Activating Token Index: 714

Text #5

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Max Act: 0.0116. Min Act: -0.0006

Data Index: 206105 (C4 (Web Text))

Max Activating Token Index: 59

Text #6

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Max Activating Token Index: 767

Text #7

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Max Activating Token Index: 528

Text #8

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Max Activating Token Index: 608

Text #9

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Max Activating Token Index: 265

Text #10

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Max Activating Token Index: 661

Text #11

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Max Activating Token Index: 821

Text #12

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Max Activating Token Index: 732

Text #13

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Max Activating Token Index: 71

Text #14

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Max Activating Token Index: 651

Text #15

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Max Activating Token Index: 822

Text #16

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Max Activating Token Index: 288

Text #17

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Max Activating Token Index: 914

Text #18

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Max Activating Token Index: 818

Text #19

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Data Index: 1015755 (C4 (Web Text))

Max Activating Token Index: 25