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

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

Neuron 1778 in Layer 0

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

Text #0

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Max Act: 0.0134. Min Act: -0.0004

Data Index: 277919 (C4 (Web Text))

Max Activating Token Index: 215

Text #1

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Max Act: 0.0129. Min Act: -0.0004

Data Index: 365250 (C4 (Web Text))

Max Activating Token Index: 790

Text #2

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Max Act: 0.0129. Min Act: -0.0004

Data Index: 365246 (C4 (Web Text))

Max Activating Token Index: 304

Text #3

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Max Act: 0.0126. Min Act: -0.0005

Data Index: 41575 (C4 (Web Text))

Max Activating Token Index: 937

Text #4

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 762634 (C4 (Web Text))

Max Activating Token Index: 931

Text #5

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Max Act: 0.0122. Min Act: -0.0004

Data Index: 50382 (C4 (Web Text))

Max Activating Token Index: 537

Text #6

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Max Activating Token Index: 240

Text #7

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Max Activating Token Index: 590

Text #8

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Max Activating Token Index: 532

Text #9

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Max Activating Token Index: 468

Text #10

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Max Activating Token Index: 374

Text #11

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Max Activating Token Index: 704

Text #12

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Max Activating Token Index: 691

Text #13

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Max Activating Token Index: 911

Text #14

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Data Index: 55402 (C4 (Web Text))

Max Activating Token Index: 965

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 14

Text #18

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Data Index: 247100 (C4 (Web Text))

Max Activating Token Index: 753

Text #19

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Data Index: 1041302 (C4 (Web Text))

Max Activating Token Index: 667