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

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

Neuron 1041 in Layer 1

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

Text #0

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Max Act: 0.0618. Min Act: -0.0003

Data Index: 395098 (C4 (Web Text))

Max Activating Token Index: 404

Text #1

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Max Act: 0.0488. Min Act: -0.0003

Data Index: 337567 (C4 (Web Text))

Max Activating Token Index: 253

Text #2

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Max Act: 0.0475. Min Act: -0.0003

Data Index: 1055009 (C4 (Web Text))

Max Activating Token Index: 748

Text #3

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Max Act: 0.0464. Min Act: -0.0003

Data Index: 143389 (C4 (Web Text))

Max Activating Token Index: 338

Text #4

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Max Act: 0.0462. Min Act: -0.0003

Data Index: 1102622 (C4 (Web Text))

Max Activating Token Index: 14

Text #5

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Max Activating Token Index: 725

Text #6

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Data Index: 163457 (C4 (Web Text))

Max Activating Token Index: 28

Text #7

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Max Activating Token Index: 192

Text #9

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Max Activating Token Index: 629

Text #10

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Max Activating Token Index: 278

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Max Activating Token Index: 136

Text #12

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Max Activating Token Index: 23

Text #13

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Max Activating Token Index: 308

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 54

Text #17

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Max Activating Token Index: 98

Text #18

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Max Activating Token Index: 425

Text #19

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Data Index: 651866 (C4 (Web Text))

Max Activating Token Index: 168