Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 43 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0352. Min Act: -0.0005

Data Index: 1101097 (C4 (Web Text))

Max Activating Token Index: 911

Text #1

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Max Act: 0.0360. Min Act: -0.0006

Data Index: 1541396 (Python Code)

Max Activating Token Index: 333

Text #2

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Max Act: 0.0364. Min Act: -0.0005

Data Index: 328467 (C4 (Web Text))

Max Activating Token Index: 114

Text #3

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Max Act: 0.0359. Min Act: -0.0005

Data Index: 1338984 (C4 (Web Text))

Max Activating Token Index: 670

Text #4

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Max Act: 0.0350. Min Act: -0.0005

Data Index: 1152946 (C4 (Web Text))

Max Activating Token Index: 749

Text #5

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Max Act: 0.0306. Min Act: -0.0006

Data Index: 109188 (C4 (Web Text))

Max Activating Token Index: 486

Text #6

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Max Act: 0.0325. Min Act: -0.0006

Data Index: 1207312 (C4 (Web Text))

Max Activating Token Index: 929

Text #7

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Max Act: 0.0328. Min Act: -0.0006

Data Index: 237391 (C4 (Web Text))

Max Activating Token Index: 953

Text #8

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Data Index: 1642650 (Python Code)

Max Activating Token Index: 199

Text #9

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Data Index: 740558 (C4 (Web Text))

Max Activating Token Index: 743

Text #10

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Max Activating Token Index: 93

Text #11

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Max Activating Token Index: 661

Text #12

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Data Index: 962645 (C4 (Web Text))

Max Activating Token Index: 158

Text #13

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Max Act: 0.0316. Min Act: -0.0005

Data Index: 801071 (C4 (Web Text))

Max Activating Token Index: 875

Text #14

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Data Index: 1554873 (Python Code)

Max Activating Token Index: 285

Text #15

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Max Activating Token Index: 204

Text #16

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Max Activating Token Index: 199

Text #17

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Data Index: 416567 (C4 (Web Text))

Max Activating Token Index: 560

Text #18

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Data Index: 1062265 (C4 (Web Text))

Max Activating Token Index: 212

Text #19

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Max Act: 0.0309. Min Act: -0.0006

Data Index: 1511307 (Python Code)

Max Activating Token Index: 561