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

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

Neuron 1990 in Layer 1

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

Text #0

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Max Act: 0.0875. Min Act: -0.0002

Data Index: 285277 (C4 (Web Text))

Max Activating Token Index: 654

Text #1

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Max Act: 0.0827. Min Act: -0.0003

Data Index: 838661 (C4 (Web Text))

Max Activating Token Index: 954

Text #2

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Max Act: 0.0682. Min Act: -0.0002

Data Index: 58041 (C4 (Web Text))

Max Activating Token Index: 437

Text #3

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Max Act: 0.0569. Min Act: -0.0003

Data Index: 773025 (C4 (Web Text))

Max Activating Token Index: 886

Text #4

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Max Act: 0.0624. Min Act: -0.0003

Data Index: 139212 (C4 (Web Text))

Max Activating Token Index: 254

Text #5

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Data Index: 247454 (C4 (Web Text))

Max Activating Token Index: 44

Text #6

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Max Activating Token Index: 935

Text #7

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Max Activating Token Index: 420

Text #8

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Max Activating Token Index: 380

Text #9

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Max Activating Token Index: 943

Text #10

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Data Index: 398216 (C4 (Web Text))

Max Activating Token Index: 385

Text #11

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Max Activating Token Index: 583

Text #12

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Max Activating Token Index: 807

Text #13

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Max Activating Token Index: 256

Text #14

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Max Activating Token Index: 872

Text #15

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Max Activating Token Index: 891

Text #16

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Max Activating Token Index: 944

Text #17

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Max Activating Token Index: 685

Text #18

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Data Index: 310683 (C4 (Web Text))

Max Activating Token Index: 288

Text #19

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Data Index: 1254540 (C4 (Web Text))

Max Activating Token Index: 962