Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1954 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0115. Min Range: -0.0115

Max Act: 0.0115. Min Act: -0.0006

Data Index: 36432 (C4 (Web Text))

Max Activating Token Index: 803

Text #1

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Data Index: 863093 (C4 (Web Text))

Max Activating Token Index: 570

Text #2

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Data Index: 215419 (C4 (Web Text))

Max Activating Token Index: 417

Text #3

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Max Act: 0.0113. Min Act: -0.0006

Data Index: 278374 (C4 (Web Text))

Max Activating Token Index: 413

Text #4

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Data Index: 1089853 (C4 (Web Text))

Max Activating Token Index: 586

Text #5

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Data Index: 1175468 (C4 (Web Text))

Max Activating Token Index: 456

Text #6

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Data Index: 609003 (C4 (Web Text))

Max Activating Token Index: 453

Text #7

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Max Activating Token Index: 425

Text #8

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Max Activating Token Index: 522

Text #9

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Max Activating Token Index: 425

Text #10

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Max Activating Token Index: 444

Text #11

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Text #12

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Max Activating Token Index: 438

Text #13

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Max Activating Token Index: 632

Text #14

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Max Activating Token Index: 444

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 433

Text #19

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Data Index: 1358011 (C4 (Web Text))

Max Activating Token Index: 480