Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2436 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0160. Min Range: -0.0160

Max Act: 0.0160. Min Act: -0.0002

Data Index: 162513 (C4 (Web Text))

Max Activating Token Index: 694

Text #1

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Max Activating Token Index: 341

Text #2

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Max Act: 0.0147. Min Act: -0.0002

Data Index: 325503 (C4 (Web Text))

Max Activating Token Index: 244

Text #3

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 748135 (C4 (Web Text))

Max Activating Token Index: 542

Text #4

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 159585 (C4 (Web Text))

Max Activating Token Index: 468

Text #5

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Max Activating Token Index: 45

Text #6

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Max Activating Token Index: 297

Text #7

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Text #8

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Max Activating Token Index: 338

Text #9

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Max Activating Token Index: 28

Text #10

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Max Activating Token Index: 3

Text #11

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Max Activating Token Index: 59

Text #12

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Max Activating Token Index: 229

Text #13

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Max Activating Token Index: 30

Text #14

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Max Activating Token Index: 2

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 642

Text #18

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Max Activating Token Index: 15

Text #19

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Data Index: 75762 (C4 (Web Text))

Max Activating Token Index: 27