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

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

Neuron 1562 in Layer 1

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

Text #0

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 417926 (C4 (Web Text))

Max Activating Token Index: 93

Text #1

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Max Act: 0.0430. Min Act: -0.0003

Data Index: 375018 (C4 (Web Text))

Max Activating Token Index: 585

Text #2

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Max Act: 0.0432. Min Act: -0.0003

Data Index: 295929 (C4 (Web Text))

Max Activating Token Index: 856

Text #3

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 928354 (C4 (Web Text))

Max Activating Token Index: 215

Text #4

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Max Act: 0.0393. Min Act: -0.0002

Data Index: 97364 (C4 (Web Text))

Max Activating Token Index: 32

Text #5

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Max Act: 0.0376. Min Act: -0.0003

Data Index: 1333352 (C4 (Web Text))

Max Activating Token Index: 487

Text #6

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Max Activating Token Index: 981

Text #7

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Max Activating Token Index: 199

Text #8

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Max Activating Token Index: 123

Text #9

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Max Activating Token Index: 564

Text #10

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Max Activating Token Index: 486

Text #11

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Data Index: 653960 (C4 (Web Text))

Max Activating Token Index: 950

Text #12

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Max Activating Token Index: 861

Text #13

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Max Activating Token Index: 955

Text #14

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Max Activating Token Index: 901

Text #15

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Max Activating Token Index: 614

Text #16

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Max Activating Token Index: 166

Text #17

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Max Activating Token Index: 202

Text #18

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Max Activating Token Index: 486

Text #19

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Data Index: 1145199 (C4 (Web Text))

Max Activating Token Index: 963