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

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

Neuron 588 in Layer 1

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

Text #0

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Max Act: 0.0373. Min Act: -0.0002

Data Index: 534398 (C4 (Web Text))

Max Activating Token Index: 252

Text #1

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Data Index: 1028092 (C4 (Web Text))

Max Activating Token Index: 267

Text #2

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Data Index: 174605 (C4 (Web Text))

Max Activating Token Index: 176

Text #3

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Max Act: 0.0310. Min Act: -0.0003

Data Index: 352750 (C4 (Web Text))

Max Activating Token Index: 280

Text #4

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Data Index: 817146 (C4 (Web Text))

Max Activating Token Index: 442

Text #5

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Data Index: 267696 (C4 (Web Text))

Max Activating Token Index: 1010

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 437

Text #12

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Max Activating Token Index: 312

Text #13

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Max Activating Token Index: 200

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 669271 (C4 (Web Text))

Max Activating Token Index: 172