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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1203 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0261. Min Act: -0.0002

Data Index: 1086552 (C4 (Web Text))

Max Activating Token Index: 428

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Text #1

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Data Index: 1027931 (C4 (Web Text))

Max Activating Token Index: 790

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Truncated

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Text #2

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 236223 (C4 (Web Text))

Max Activating Token Index: 553

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Text #3

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Max Act: 0.0229. Min Act: -0.0002

Data Index: 596881 (C4 (Web Text))

Max Activating Token Index: 880

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Truncated

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Text #4

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Data Index: 1056182 (C4 (Web Text))

Max Activating Token Index: 788

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Truncated

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Text #5

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 762130 (C4 (Web Text))

Max Activating Token Index: 517

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Text #6

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Data Index: 1468891 (Python Code)

Max Activating Token Index: 721

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Truncated

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Text #7

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Data Index: 1299849 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 175748 (C4 (Web Text))

Max Activating Token Index: 18

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Text #9

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Data Index: 462333 (C4 (Web Text))

Max Activating Token Index: 213

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Text #10

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Data Index: 831594 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 324250 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1211639 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1615285 (Python Code)

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Text #15

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Data Index: 746844 (C4 (Web Text))

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Text #16

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Data Index: 1553069 (Python Code)

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Truncated

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Text #17

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Max Act: 0.0182. Min Act: -0.0002

Data Index: 165266 (C4 (Web Text))

Max Activating Token Index: 756

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Text #18

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Data Index: 78845 (C4 (Web Text))

Max Activating Token Index: 107

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Truncated

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Text #19

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Data Index: 937433 (C4 (Web Text))

Max Activating Token Index: 266

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