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

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

Neuron 1448 in Layer 0

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

Text #0

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Max Act: 0.0112. Min Act: -0.0006

Data Index: 17757 (C4 (Web Text))

Max Activating Token Index: 81

Text #1

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Max Act: 0.0112. Min Act: -0.0006

Data Index: 1199503 (C4 (Web Text))

Max Activating Token Index: 752

Text #2

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1320215 (C4 (Web Text))

Max Activating Token Index: 777

Text #3

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 495597 (C4 (Web Text))

Max Activating Token Index: 729

Text #4

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Max Act: 0.0099. Min Act: -0.0006

Data Index: 55712 (C4 (Web Text))

Max Activating Token Index: 515

Text #5

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Max Act: 0.0098. Min Act: -0.0006

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Max Activating Token Index: 652

Text #6

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Max Activating Token Index: 457

Text #7

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Max Activating Token Index: 562

Text #8

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Max Activating Token Index: 24

Text #9

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Max Activating Token Index: 626

Text #10

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Max Activating Token Index: 342

Text #11

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Data Index: 374524 (C4 (Web Text))

Max Activating Token Index: 81

Text #12

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Data Index: 76033 (C4 (Web Text))

Max Activating Token Index: 177

Text #13

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Max Act: 0.0090. Min Act: -0.0006

Data Index: 1261994 (C4 (Web Text))

Max Activating Token Index: 320

Text #14

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Data Index: 576950 (C4 (Web Text))

Max Activating Token Index: 61

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 494

Text #18

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Max Activating Token Index: 841

Text #19

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Data Index: 570651 (C4 (Web Text))

Max Activating Token Index: 826