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

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

Neuron 1430 in Layer 1

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

Text #0

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Max Act: 0.0618. Min Act: -0.0006

Data Index: 1088230 (C4 (Web Text))

Max Activating Token Index: 237

Text #1

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Data Index: 1063368 (C4 (Web Text))

Max Activating Token Index: 901

Text #2

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Max Act: 0.0540. Min Act: -0.0006

Data Index: 375257 (C4 (Web Text))

Max Activating Token Index: 362

Text #3

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Max Act: 0.0564. Min Act: -0.0006

Data Index: 130951 (C4 (Web Text))

Max Activating Token Index: 501

Text #4

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Max Act: 0.0572. Min Act: -0.0006

Data Index: 395765 (C4 (Web Text))

Max Activating Token Index: 598

Text #5

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Max Activating Token Index: 783

Text #6

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Max Activating Token Index: 265

Text #7

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Max Activating Token Index: 138

Text #8

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Data Index: 727888 (C4 (Web Text))

Max Activating Token Index: 127

Text #9

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Max Activating Token Index: 714

Text #10

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Max Activating Token Index: 58

Text #11

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Max Activating Token Index: 142

Text #12

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Max Activating Token Index: 328

Text #13

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Max Activating Token Index: 490

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 469

Text #18

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Text #19

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Data Index: 537356 (C4 (Web Text))

Max Activating Token Index: 1007