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

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

Neuron 1483 in Layer 1

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

Text #0

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Max Act: 0.0448. Min Act: -0.0002

Data Index: 241013 (C4 (Web Text))

Max Activating Token Index: 347

Text #1

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Max Act: 0.0418. Min Act: -0.0003

Data Index: 1099387 (C4 (Web Text))

Max Activating Token Index: 636

Text #2

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Data Index: 152650 (C4 (Web Text))

Max Activating Token Index: 506

Text #3

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Max Act: 0.0394. Min Act: -0.0003

Data Index: 604746 (C4 (Web Text))

Max Activating Token Index: 61

Text #4

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Data Index: 1143516 (C4 (Web Text))

Max Activating Token Index: 122

Text #5

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Data Index: 194189 (C4 (Web Text))

Max Activating Token Index: 219

Text #6

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Max Activating Token Index: 359

Text #7

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Max Activating Token Index: 212

Text #8

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Data Index: 116718 (C4 (Web Text))

Max Activating Token Index: 64

Text #9

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Max Activating Token Index: 60

Text #10

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Max Activating Token Index: 322

Text #11

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Max Activating Token Index: 397

Text #12

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Max Activating Token Index: 659

Text #13

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Data Index: 772417 (C4 (Web Text))

Max Activating Token Index: 441

Text #14

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Data Index: 807431 (C4 (Web Text))

Max Activating Token Index: 287

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 1010

Text #18

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Data Index: 245290 (C4 (Web Text))

Max Activating Token Index: 716

Text #19

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Data Index: 1284788 (C4 (Web Text))

Max Activating Token Index: 22