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

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

Neuron 289 in Layer 0

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

Text #0

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Max Act: 0.0132. Min Act: -0.0005

Data Index: 1339600 (C4 (Web Text))

Max Activating Token Index: 832

Text #1

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Data Index: 597583 (C4 (Web Text))

Max Activating Token Index: 616

Text #2

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 345912 (C4 (Web Text))

Max Activating Token Index: 82

Text #3

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Max Act: 0.0123. Min Act: -0.0005

Data Index: 808655 (C4 (Web Text))

Max Activating Token Index: 666

Text #4

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Max Act: 0.0123. Min Act: -0.0005

Data Index: 782984 (C4 (Web Text))

Max Activating Token Index: 901

Text #5

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1094005 (C4 (Web Text))

Max Activating Token Index: 901

Text #6

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Max Activating Token Index: 575

Text #7

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Max Activating Token Index: 746

Text #8

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Max Activating Token Index: 615

Text #9

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Max Activating Token Index: 486

Text #10

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Max Activating Token Index: 329

Text #11

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Max Activating Token Index: 452

Text #12

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Max Activating Token Index: 847

Text #13

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Data Index: 43023 (C4 (Web Text))

Max Activating Token Index: 559

Text #14

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Text #15

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Text #16

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Data Index: 1383317 (Python Code)

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Text #17

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Max Activating Token Index: 18

Text #18

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Data Index: 1446534 (Python Code)

Max Activating Token Index: 783

Text #19

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Data Index: 63984 (C4 (Web Text))

Max Activating Token Index: 538