Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1468 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0130. Min Range: -0.0130

Max Act: 0.0130. Min Act: -0.0002

Data Index: 1095924 (C4 (Web Text))

Max Activating Token Index: 926

Text #1

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 713720 (C4 (Web Text))

Max Activating Token Index: 2

Text #2

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 1134457 (C4 (Web Text))

Max Activating Token Index: 5

Text #3

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 898706 (C4 (Web Text))

Max Activating Token Index: 4

Text #4

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Max Act: 0.0119. Min Act: -0.0002

Data Index: 792948 (C4 (Web Text))

Max Activating Token Index: 12

Text #5

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Data Index: 82365 (C4 (Web Text))

Max Activating Token Index: 200

Text #6

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Data Index: 765974 (C4 (Web Text))

Max Activating Token Index: 609

Text #7

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Data Index: 1365849 (Python Code)

Max Activating Token Index: 835

Text #8

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Data Index: 499312 (C4 (Web Text))

Max Activating Token Index: 8

Text #9

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Max Activating Token Index: 558

Text #10

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Data Index: 392060 (C4 (Web Text))

Max Activating Token Index: 875

Text #11

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Data Index: 179489 (C4 (Web Text))

Max Activating Token Index: 898

Text #12

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Data Index: 1274852 (C4 (Web Text))

Max Activating Token Index: 952

Text #13

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Data Index: 63036 (C4 (Web Text))

Max Activating Token Index: 491

Text #14

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Data Index: 286596 (C4 (Web Text))

Max Activating Token Index: 604

Text #15

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Data Index: 232338 (C4 (Web Text))

Max Activating Token Index: 830

Text #16

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Max Activating Token Index: 274

Text #17

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Max Activating Token Index: 1022

Text #18

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Data Index: 657087 (C4 (Web Text))

Max Activating Token Index: 132

Text #19

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 456725 (C4 (Web Text))

Max Activating Token Index: 504