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

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

Neuron 130 in Layer 1

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

Text #0

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Data Index: 1263196 (C4 (Web Text))

Max Activating Token Index: 594

Text #1

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Data Index: 1255763 (C4 (Web Text))

Max Activating Token Index: 196

Text #2

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Max Act: 0.0170. Min Act: -0.0006

Data Index: 724652 (C4 (Web Text))

Max Activating Token Index: 559

Text #3

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Max Act: 0.0168. Min Act: -0.0006

Data Index: 105896 (C4 (Web Text))

Max Activating Token Index: 137

Text #4

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Max Act: 0.0155. Min Act: -0.0006

Data Index: 312648 (C4 (Web Text))

Max Activating Token Index: 945

Text #5

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Data Index: 1190265 (C4 (Web Text))

Max Activating Token Index: 79

Text #6

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Max Activating Token Index: 570

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Max Activating Token Index: 168

Text #8

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Max Activating Token Index: 295

Text #9

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Max Activating Token Index: 118

Text #10

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Text #12

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Max Activating Token Index: 52

Text #13

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Max Activating Token Index: 80

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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Max Activating Token Index: 242

Text #19

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Data Index: 546024 (C4 (Web Text))

Max Activating Token Index: 475