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

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

Neuron 2045 in Layer 0

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

Text #0

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Max Act: 0.0214. Min Act: -0.0004

Data Index: 465530 (C4 (Web Text))

Max Activating Token Index: 909

Text #1

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Max Activating Token Index: 375

Text #2

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Max Act: 0.0170. Min Act: -0.0004

Data Index: 761851 (C4 (Web Text))

Max Activating Token Index: 37

Text #3

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Max Act: 0.0173. Min Act: -0.0004

Data Index: 651918 (C4 (Web Text))

Max Activating Token Index: 452

Text #4

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Data Index: 734251 (C4 (Web Text))

Max Activating Token Index: 626

Text #5

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Max Activating Token Index: 331

Text #6

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Max Activating Token Index: 200

Text #7

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Max Activating Token Index: 201

Text #8

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Max Activating Token Index: 204

Text #9

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Text #10

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Max Activating Token Index: 300

Text #11

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Max Activating Token Index: 600

Text #12

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Max Activating Token Index: 105

Text #13

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Max Activating Token Index: 366

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 800164 (C4 (Web Text))

Max Activating Token Index: 50