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

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

Neuron 1130 in Layer 0

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

Text #0

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Max Act: 0.0176. Min Act: -0.0006

Data Index: 509222 (C4 (Web Text))

Max Activating Token Index: 127

Text #1

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Max Act: 0.0162. Min Act: -0.0006

Data Index: 760410 (C4 (Web Text))

Max Activating Token Index: 237

Text #2

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Max Act: 0.0145. Min Act: -0.0006

Data Index: 561183 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0138. Min Act: -0.0005

Data Index: 710209 (C4 (Web Text))

Max Activating Token Index: 594

Text #4

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 112287 (C4 (Web Text))

Max Activating Token Index: 37

Text #5

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Max Act: 0.0125. Min Act: -0.0006

Data Index: 944336 (C4 (Web Text))

Max Activating Token Index: 681

Text #6

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Max Activating Token Index: 576

Text #7

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Max Activating Token Index: 396

Text #8

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Max Activating Token Index: 572

Text #9

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Data Index: 742229 (C4 (Web Text))

Max Activating Token Index: 386

Text #10

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Max Activating Token Index: 296

Text #11

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Max Activating Token Index: 374

Text #12

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Max Activating Token Index: 724

Text #13

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Data Index: 516955 (C4 (Web Text))

Max Activating Token Index: 695

Text #14

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Data Index: 146736 (C4 (Web Text))

Max Activating Token Index: 1022

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 950

Text #18

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Data Index: 567942 (C4 (Web Text))

Max Activating Token Index: 576

Text #19

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Data Index: 714671 (C4 (Web Text))

Max Activating Token Index: 628