Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3006 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0170. Min Act: -0.0004

Data Index: 701987 (C4 (Web Text))

Max Activating Token Index: 561

Text #1

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Max Act: 0.0146. Min Act: -0.0003

Data Index: 773217 (C4 (Web Text))

Max Activating Token Index: 145

Text #2

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Max Act: 0.0143. Min Act: -0.0003

Data Index: 49105 (C4 (Web Text))

Max Activating Token Index: 115

Text #3

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Max Act: 0.0140. Min Act: -0.0003

Data Index: 254009 (C4 (Web Text))

Max Activating Token Index: 101

Text #4

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Max Act: 0.0140. Min Act: -0.0003

Data Index: 496062 (C4 (Web Text))

Max Activating Token Index: 320

Text #5

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Max Act: 0.0138. Min Act: -0.0003

Data Index: 325001 (C4 (Web Text))

Max Activating Token Index: 439

Text #6

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Max Act: 0.0140. Min Act: -0.0003

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Max Activating Token Index: 249

Text #7

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Max Activating Token Index: 297

Text #8

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Max Activating Token Index: 930

Text #9

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Data Index: 908365 (C4 (Web Text))

Max Activating Token Index: 439

Text #10

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Data Index: 380294 (C4 (Web Text))

Max Activating Token Index: 870

Text #11

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Max Activating Token Index: 647

Text #12

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Max Activating Token Index: 476

Text #13

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Data Index: 356535 (C4 (Web Text))

Max Activating Token Index: 13

Text #14

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Max Activating Token Index: 345

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 873

Text #18

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Data Index: 5676 (C4 (Web Text))

Max Activating Token Index: 890

Text #19

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Data Index: 641157 (C4 (Web Text))

Max Activating Token Index: 34