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

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

Neuron 4966 in Layer 4

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

Text #0

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Max Act: 0.0240. Min Act: -0.0000

Data Index: 1455171 (Python Code)

Max Activating Token Index: 156

Text #1

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Data Index: 896578 (C4 (Web Text))

Max Activating Token Index: 877

Text #2

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Data Index: 1493418 (Python Code)

Max Activating Token Index: 62

Text #3

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Max Act: 0.0225. Min Act: -0.0000

Data Index: 480611 (C4 (Web Text))

Max Activating Token Index: 197

Text #4

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Data Index: 11490 (C4 (Web Text))

Max Activating Token Index: 720

Text #5

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Data Index: 335242 (C4 (Web Text))

Max Activating Token Index: 60

Text #6

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Data Index: 3112 (C4 (Web Text))

Max Activating Token Index: 561

Text #7

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Max Activating Token Index: 802

Text #8

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Max Activating Token Index: 670

Text #9

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Data Index: 39609 (C4 (Web Text))

Max Activating Token Index: 872

Text #10

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Max Activating Token Index: 207

Text #11

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Max Activating Token Index: 792

Text #12

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Data Index: 1220003 (C4 (Web Text))

Max Activating Token Index: 99

Text #13

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Data Index: 1090967 (C4 (Web Text))

Max Activating Token Index: 55

Text #14

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Data Index: 707900 (C4 (Web Text))

Max Activating Token Index: 264

Text #15

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Text #16

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Max Activating Token Index: 232

Text #17

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Max Activating Token Index: 588

Text #18

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Data Index: 1330255 (C4 (Web Text))

Max Activating Token Index: 692

Text #19

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Data Index: 145223 (C4 (Web Text))

Max Activating Token Index: 685