Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1465 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0449. Min Act: -0.0003

Data Index: 47941 (C4 (Web Text))

Max Activating Token Index: 801

Text #1

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Max Activating Token Index: 905

Text #2

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Max Act: 0.0391. Min Act: -0.0003

Data Index: 581639 (C4 (Web Text))

Max Activating Token Index: 159

Text #3

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Data Index: 748928 (C4 (Web Text))

Max Activating Token Index: 957

Text #4

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Data Index: 924730 (C4 (Web Text))

Max Activating Token Index: 239

Text #5

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Max Activating Token Index: 1005

Text #6

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Max Activating Token Index: 386

Text #7

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Max Activating Token Index: 486

Text #8

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Max Activating Token Index: 386

Text #9

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Max Activating Token Index: 443

Text #10

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Max Activating Token Index: 177

Text #11

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Max Activating Token Index: 734

Text #12

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Max Activating Token Index: 215

Text #13

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Max Activating Token Index: 891

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 274

Text #17

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Text #18

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Max Activating Token Index: 86

Text #19

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Data Index: 245476 (C4 (Web Text))

Max Activating Token Index: 842