Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 996 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.1076. Min Act: -0.0002

Data Index: 1280318 (C4 (Web Text))

Max Activating Token Index: 520

Text #1

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Max Act: 0.1013. Min Act: -0.0001

Data Index: 1216772 (C4 (Web Text))

Max Activating Token Index: 92

Text #2

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Max Act: 0.1008. Min Act: -0.0001

Data Index: 384326 (C4 (Web Text))

Max Activating Token Index: 147

Text #3

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Max Act: 0.1002. Min Act: -0.0001

Data Index: 20599 (C4 (Web Text))

Max Activating Token Index: 767

Text #4

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Max Act: 0.0991. Min Act: -0.0002

Data Index: 595887 (C4 (Web Text))

Max Activating Token Index: 757

Text #5

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Max Act: 0.0980. Min Act: -0.0002

Data Index: 668384 (C4 (Web Text))

Max Activating Token Index: 928

Text #6

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Data Index: 172887 (C4 (Web Text))

Max Activating Token Index: 522

Text #7

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Data Index: 292102 (C4 (Web Text))

Max Activating Token Index: 335

Text #8

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Data Index: 1008394 (C4 (Web Text))

Max Activating Token Index: 229

Text #9

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Data Index: 1466533 (Python Code)

Max Activating Token Index: 896

Text #10

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Data Index: 129407 (C4 (Web Text))

Max Activating Token Index: 677

Text #11

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Data Index: 648691 (C4 (Web Text))

Max Activating Token Index: 957

Text #12

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Data Index: 663704 (C4 (Web Text))

Max Activating Token Index: 800

Text #13

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Data Index: 95965 (C4 (Web Text))

Max Activating Token Index: 954

Text #14

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Data Index: 856524 (C4 (Web Text))

Max Activating Token Index: 94

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 357

Text #18

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Data Index: 694123 (C4 (Web Text))

Max Activating Token Index: 950

Text #19

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Max Act: 0.0813. Min Act: -0.0002

Data Index: 856697 (C4 (Web Text))

Max Activating Token Index: 111