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

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

Neuron 1837 in Layer 0

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

Text #0

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Max Act: 0.0107. Min Act: -0.0006

Data Index: 182217 (C4 (Web Text))

Max Activating Token Index: 191

Text #1

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Max Activating Token Index: 832

Text #2

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Max Act: 0.0103. Min Act: -0.0006

Data Index: 556164 (C4 (Web Text))

Max Activating Token Index: 802

Text #3

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Max Act: 0.0102. Min Act: -0.0006

Data Index: 698950 (C4 (Web Text))

Max Activating Token Index: 261

Text #4

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Data Index: 1266366 (C4 (Web Text))

Max Activating Token Index: 232

Text #5

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Data Index: 297087 (C4 (Web Text))

Max Activating Token Index: 319

Text #6

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Text #7

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Max Activating Token Index: 402

Text #8

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Text #9

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Max Activating Token Index: 841

Text #10

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Max Activating Token Index: 703

Text #11

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Max Activating Token Index: 349

Text #12

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Max Activating Token Index: 159

Text #13

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Max Activating Token Index: 845

Text #14

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Max Activating Token Index: 189

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 152

Text #18

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Max Activating Token Index: 440

Text #19

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Data Index: 651859 (C4 (Web Text))

Max Activating Token Index: 616