Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 366 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 1128220 (C4 (Web Text))

Max Activating Token Index: 537

Text #1

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Data Index: 345439 (C4 (Web Text))

Max Activating Token Index: 871

Text #2

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Max Act: 0.0240. Min Act: -0.0006

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Max Activating Token Index: 460

Text #3

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Data Index: 361133 (C4 (Web Text))

Max Activating Token Index: 941

Text #4

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Data Index: 299869 (C4 (Web Text))

Max Activating Token Index: 675

Text #5

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Data Index: 124432 (C4 (Web Text))

Max Activating Token Index: 488

Text #6

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Max Activating Token Index: 317

Text #7

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Max Activating Token Index: 876

Text #8

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Max Activating Token Index: 946

Text #9

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Max Activating Token Index: 224

Text #10

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Max Activating Token Index: 867

Text #11

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Max Activating Token Index: 763

Text #12

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Max Activating Token Index: 233

Text #13

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Max Activating Token Index: 477

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 965

Text #17

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Max Activating Token Index: 629

Text #18

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Max Activating Token Index: 701

Text #19

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Max Act: 0.0215. Min Act: -0.0006

Data Index: 205506 (C4 (Web Text))

Max Activating Token Index: 347