Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1485 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0591. Min Act: -0.0006

Data Index: 785685 (C4 (Web Text))

Max Activating Token Index: 502

Text #1

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Max Act: 0.0551. Min Act: -0.0006

Data Index: 1232023 (C4 (Web Text))

Max Activating Token Index: 609

Text #2

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Max Act: 0.0522. Min Act: -0.0006

Data Index: 987225 (C4 (Web Text))

Max Activating Token Index: 187

Text #3

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Max Act: 0.0517. Min Act: -0.0006

Data Index: 1099543 (C4 (Web Text))

Max Activating Token Index: 962

Text #4

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Max Act: 0.0517. Min Act: -0.0006

Data Index: 22865 (C4 (Web Text))

Max Activating Token Index: 171

Text #5

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Max Act: 0.0501. Min Act: -0.0006

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Max Activating Token Index: 884

Text #6

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Data Index: 1180119 (C4 (Web Text))

Max Activating Token Index: 226

Text #7

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Data Index: 10325 (C4 (Web Text))

Max Activating Token Index: 514

Text #8

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Data Index: 448309 (C4 (Web Text))

Max Activating Token Index: 463

Text #9

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Data Index: 40908 (C4 (Web Text))

Max Activating Token Index: 837

Text #10

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Max Activating Token Index: 884

Text #11

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Max Activating Token Index: 933

Text #12

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Data Index: 904062 (C4 (Web Text))

Max Activating Token Index: 773

Text #13

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Data Index: 58223 (C4 (Web Text))

Max Activating Token Index: 268

Text #14

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Data Index: 1345156 (C4 (Web Text))

Max Activating Token Index: 314

Text #15

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Max Activating Token Index: 928

Text #16

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Max Activating Token Index: 188

Text #17

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Max Activating Token Index: 352

Text #18

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Max Activating Token Index: 1018

Text #19

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Data Index: 1018587 (C4 (Web Text))

Max Activating Token Index: 285