Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4002 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0002. Min Act: -0.0002

Data Index: 640368 (C4 (Web Text))

Max Activating Token Index: 100

Text #1

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Data Index: 1025706 (C4 (Web Text))

Max Activating Token Index: 199

Text #2

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Data Index: 38510 (C4 (Web Text))

Max Activating Token Index: 87

Text #3

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Data Index: 553757 (C4 (Web Text))

Max Activating Token Index: 196

Text #4

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Data Index: 524660 (C4 (Web Text))

Max Activating Token Index: 194

Text #5

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Data Index: 373896 (C4 (Web Text))

Max Activating Token Index: 182

Text #6

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Data Index: 169420 (C4 (Web Text))

Max Activating Token Index: 91

Text #7

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Text #8

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Data Index: 1001597 (C4 (Web Text))

Max Activating Token Index: 371

Text #9

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Data Index: 1229908 (C4 (Web Text))

Max Activating Token Index: 187

Text #10

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Data Index: 1251810 (C4 (Web Text))

Max Activating Token Index: 98

Text #11

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Text #12

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Data Index: 750620 (C4 (Web Text))

Max Activating Token Index: 236

Text #13

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Data Index: 582031 (C4 (Web Text))

Max Activating Token Index: 685

Text #14

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Data Index: 273394 (C4 (Web Text))

Max Activating Token Index: 342

Text #15

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Data Index: 1170112 (C4 (Web Text))

Max Activating Token Index: 139

Text #16

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Data Index: 1519130 (Python Code)

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Text #17

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Data Index: 1213586 (C4 (Web Text))

Max Activating Token Index: 176

Text #18

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Data Index: 1250949 (C4 (Web Text))

Max Activating Token Index: 183

Text #19

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Data Index: 1265940 (C4 (Web Text))

Max Activating Token Index: 259