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

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

Neuron 1949 in Layer 0

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

Text #0

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Max Act: 0.0273. Min Act: -0.0006

Data Index: 420117 (C4 (Web Text))

Max Activating Token Index: 482

Text #1

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Data Index: 560511 (C4 (Web Text))

Max Activating Token Index: 743

Text #2

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Max Act: 0.0259. Min Act: -0.0006

Data Index: 713295 (C4 (Web Text))

Max Activating Token Index: 601

Text #3

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Max Act: 0.0254. Min Act: -0.0006

Data Index: 66507 (C4 (Web Text))

Max Activating Token Index: 288

Text #4

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Max Act: 0.0247. Min Act: -0.0006

Data Index: 1113099 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0247. Min Act: -0.0006

Data Index: 710176 (C4 (Web Text))

Max Activating Token Index: 290

Text #6

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Max Activating Token Index: 529

Text #7

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Max Activating Token Index: 411

Text #8

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Max Activating Token Index: 616

Text #9

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Data Index: 79109 (C4 (Web Text))

Max Activating Token Index: 576

Text #10

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Max Activating Token Index: 123

Text #11

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Max Activating Token Index: 918

Text #12

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Max Activating Token Index: 398

Text #13

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Max Activating Token Index: 989

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 486

Text #18

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Data Index: 259889 (C4 (Web Text))

Max Activating Token Index: 790

Text #19

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Data Index: 659832 (C4 (Web Text))

Max Activating Token Index: 372