Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1051 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0372. Min Act: -0.0004

Data Index: 443726 (C4 (Web Text))

Max Activating Token Index: 408

Text #1

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Max Act: 0.0369. Min Act: -0.0004

Data Index: 1274466 (C4 (Web Text))

Max Activating Token Index: 297

Text #2

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Max Act: 0.0376. Min Act: -0.0004

Data Index: 4529 (C4 (Web Text))

Max Activating Token Index: 703

Text #3

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Data Index: 1060498 (C4 (Web Text))

Max Activating Token Index: 855

Text #4

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Max Act: 0.0366. Min Act: -0.0004

Data Index: 466383 (C4 (Web Text))

Max Activating Token Index: 337

Text #5

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Data Index: 165450 (C4 (Web Text))

Max Activating Token Index: 261

Text #6

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Data Index: 341950 (C4 (Web Text))

Max Activating Token Index: 762

Text #7

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Data Index: 279701 (C4 (Web Text))

Max Activating Token Index: 148

Text #8

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Data Index: 91103 (C4 (Web Text))

Max Activating Token Index: 585

Text #9

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Max Activating Token Index: 952

Text #10

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Max Activating Token Index: 474

Text #11

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Max Activating Token Index: 72

Text #12

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Data Index: 1084077 (C4 (Web Text))

Max Activating Token Index: 520

Text #13

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Data Index: 64506 (C4 (Web Text))

Max Activating Token Index: 336

Text #14

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Max Activating Token Index: 343

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 547

Text #18

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Data Index: 110966 (C4 (Web Text))

Max Activating Token Index: 338

Text #19

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Data Index: 998237 (C4 (Web Text))

Max Activating Token Index: 113