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

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

Neuron 1683 in Layer 0

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

Text #0

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Max Act: 0.0472. Min Act: -0.0006

Data Index: 550751 (C4 (Web Text))

Max Activating Token Index: 247

Text #1

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Max Act: 0.0440. Min Act: -0.0006

Data Index: 1333846 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0418. Min Act: -0.0006

Data Index: 1310375 (C4 (Web Text))

Max Activating Token Index: 336

Text #3

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Max Act: 0.0408. Min Act: -0.0006

Data Index: 412857 (C4 (Web Text))

Max Activating Token Index: 57

Text #4

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Max Act: 0.0398. Min Act: -0.0006

Data Index: 944454 (C4 (Web Text))

Max Activating Token Index: 791

Text #5

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Max Activating Token Index: 672

Text #6

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Data Index: 400367 (C4 (Web Text))

Max Activating Token Index: 200

Text #7

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Max Activating Token Index: 671

Text #8

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Max Activating Token Index: 296

Text #9

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Data Index: 310217 (C4 (Web Text))

Max Activating Token Index: 680

Text #10

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Data Index: 1001665 (C4 (Web Text))

Max Activating Token Index: 706

Text #11

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Data Index: 801314 (C4 (Web Text))

Max Activating Token Index: 466

Text #12

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Max Activating Token Index: 35

Text #13

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Data Index: 863195 (C4 (Web Text))

Max Activating Token Index: 359

Text #14

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Data Index: 625225 (C4 (Web Text))

Max Activating Token Index: 544

Text #15

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Data Index: 49340 (C4 (Web Text))

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Text #16

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Text #17

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Max Activating Token Index: 148

Text #18

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Data Index: 775889 (C4 (Web Text))

Max Activating Token Index: 341

Text #19

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Data Index: 1050277 (C4 (Web Text))

Max Activating Token Index: 1023