Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 893 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 520102 (C4 (Web Text))

Max Activating Token Index: 217

Text #1

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Data Index: 1194210 (C4 (Web Text))

Max Activating Token Index: 963

Text #2

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Max Act: 0.0145. Min Act: -0.0006

Data Index: 457868 (C4 (Web Text))

Max Activating Token Index: 524

Text #3

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Data Index: 771182 (C4 (Web Text))

Max Activating Token Index: 793

Text #4

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Data Index: 142908 (C4 (Web Text))

Max Activating Token Index: 680

Text #5

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Max Activating Token Index: 885

Text #6

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Max Activating Token Index: 548

Text #7

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Text #8

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Max Activating Token Index: 391

Text #9

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Max Activating Token Index: 184

Text #10

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Max Activating Token Index: 108

Text #11

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Max Activating Token Index: 190

Text #12

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Max Activating Token Index: 834

Text #13

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Max Activating Token Index: 1005

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 91

Text #17

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Text #18

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Text #19

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Data Index: 1134676 (C4 (Web Text))

Max Activating Token Index: 454