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

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

Neuron 1458 in Layer 1

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

Text #0

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Max Act: 0.0451. Min Act: -0.0006

Data Index: 1094535 (C4 (Web Text))

Max Activating Token Index: 90

Text #1

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Max Act: 0.0367. Min Act: -0.0006

Data Index: 137113 (C4 (Web Text))

Max Activating Token Index: 579

Text #2

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Max Act: 0.0304. Min Act: -0.0006

Data Index: 1303646 (C4 (Web Text))

Max Activating Token Index: 815

Text #3

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Max Act: 0.0350. Min Act: -0.0006

Data Index: 890933 (C4 (Web Text))

Max Activating Token Index: 359

Text #4

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Max Act: 0.0341. Min Act: -0.0006

Data Index: 170266 (C4 (Web Text))

Max Activating Token Index: 353

Text #5

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Data Index: 231673 (C4 (Web Text))

Max Activating Token Index: 1018

Text #6

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Max Activating Token Index: 381

Text #7

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Data Index: 280293 (C4 (Web Text))

Max Activating Token Index: 530

Text #8

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Max Activating Token Index: 122

Text #9

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Max Activating Token Index: 236

Text #10

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Data Index: 149451 (C4 (Web Text))

Max Activating Token Index: 332

Text #11

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Max Activating Token Index: 721

Text #12

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Data Index: 595625 (C4 (Web Text))

Max Activating Token Index: 531

Text #13

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Data Index: 49425 (C4 (Web Text))

Max Activating Token Index: 547

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 459

Text #17

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Max Activating Token Index: 974

Text #18

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Data Index: 595777 (C4 (Web Text))

Max Activating Token Index: 627

Text #19

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Data Index: 1198174 (C4 (Web Text))

Max Activating Token Index: 631