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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 5090 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.3571. Min Act: -0.0000

Data Index: 951137 (C4 (Web Text))

Max Activating Token Index: 158

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Text #1

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Max Act: 0.3497. Min Act: -0.0000

Data Index: 991379 (C4 (Web Text))

Max Activating Token Index: 36

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Text #2

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Max Act: 0.3255. Min Act: -0.0000

Data Index: 852913 (C4 (Web Text))

Max Activating Token Index: 385

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Text #3

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Data Index: 484333 (C4 (Web Text))

Max Activating Token Index: 921

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Truncated

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Text #4

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Data Index: 8978 (C4 (Web Text))

Max Activating Token Index: 49

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Text #5

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Data Index: 5166 (C4 (Web Text))

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Text #6

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Max Activating Token Index: 460

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Text #7

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Max Activating Token Index: 309

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Text #8

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Data Index: 454561 (C4 (Web Text))

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Text #9

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Data Index: 47144 (C4 (Web Text))

Max Activating Token Index: 52

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Text #10

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Data Index: 953245 (C4 (Web Text))

Max Activating Token Index: 325

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Text #11

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Text #12

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Text #13

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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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Data Index: 1182940 (C4 (Web Text))

Max Activating Token Index: 454

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Text #19

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Data Index: 873829 (C4 (Web Text))

Max Activating Token Index: 749

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