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

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

Neuron 248 in Layer 10

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



Text #0

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Max Act: 2.8255. Min Act: -0.0000

Data Index: 1188203 (C4 (Web Text))

Max Activating Token Index: 111

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Text #1

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Max Act: 2.2246. Min Act: -0.0000

Data Index: 899241 (C4 (Web Text))

Max Activating Token Index: 320

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Text #2

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Max Act: 2.2644. Min Act: -0.0000

Data Index: 449075 (C4 (Web Text))

Max Activating Token Index: 216

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Text #3

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Max Act: 2.1172. Min Act: -0.0000

Data Index: 88664 (C4 (Web Text))

Max Activating Token Index: 356

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Truncated

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Text #4

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Max Act: 1.9886. Min Act: -0.0000

Data Index: 13884 (C4 (Web Text))

Max Activating Token Index: 441

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Text #5

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Data Index: 568365 (C4 (Web Text))

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Text #6

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Data Index: 1324754 (C4 (Web Text))

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Text #7

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Data Index: 1199455 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1225493 (C4 (Web Text))

Max Activating Token Index: 876

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Text #9

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Data Index: 782144 (C4 (Web Text))

Max Activating Token Index: 821

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Text #10

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Data Index: 1127365 (C4 (Web Text))

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Truncated

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Text #11

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Text #12

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Data Index: 1501103 (Python Code)

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Text #13

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Text #14

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Text #15

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Data Index: 551440 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 414524 (C4 (Web Text))

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Text #18

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Data Index: 1279274 (C4 (Web Text))

Max Activating Token Index: 191

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Text #19

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Max Act: 1.6294. Min Act: -0.0000

Data Index: 79723 (C4 (Web Text))

Max Activating Token Index: 292

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