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

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

Neuron 1603 in Layer 1

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

Text #0

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Data Index: 1303156 (C4 (Web Text))

Max Activating Token Index: 544

Text #1

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Max Act: 0.0165. Min Act: -0.0006

Data Index: 935631 (C4 (Web Text))

Max Activating Token Index: 216

Text #2

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Max Act: 0.0150. Min Act: -0.0006

Data Index: 1338797 (C4 (Web Text))

Max Activating Token Index: 81

Text #3

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Max Act: 0.0136. Min Act: -0.0006

Data Index: 860978 (C4 (Web Text))

Max Activating Token Index: 257

Text #4

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Data Index: 791255 (C4 (Web Text))

Max Activating Token Index: 767

Text #5

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Data Index: 276574 (C4 (Web Text))

Max Activating Token Index: 29

Text #6

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Max Activating Token Index: 949

Text #7

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Max Activating Token Index: 748

Text #8

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Max Activating Token Index: 389

Text #9

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Data Index: 841101 (C4 (Web Text))

Max Activating Token Index: 817

Text #10

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Data Index: 1037005 (C4 (Web Text))

Max Activating Token Index: 518

Text #11

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Max Activating Token Index: 796

Text #12

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Max Activating Token Index: 659

Text #13

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Max Activating Token Index: 456

Text #14

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Text #15

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Max Activating Token Index: 303

Text #16

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Max Activating Token Index: 216

Text #17

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Max Activating Token Index: 456

Text #18

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Data Index: 1126354 (C4 (Web Text))

Max Activating Token Index: 471

Text #19

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Data Index: 1253419 (C4 (Web Text))

Max Activating Token Index: 422