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

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

Neuron 2758 in Layer 1

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

Text #0

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Max Act: 0.0314. Min Act: -0.0003

Data Index: 639966 (C4 (Web Text))

Max Activating Token Index: 743

Text #1

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Data Index: 64508 (C4 (Web Text))

Max Activating Token Index: 281

Text #2

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Data Index: 391150 (C4 (Web Text))

Max Activating Token Index: 168

Text #3

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Max Act: 0.0292. Min Act: -0.0003

Data Index: 1241045 (C4 (Web Text))

Max Activating Token Index: 405

Text #4

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Data Index: 776285 (C4 (Web Text))

Max Activating Token Index: 490

Text #5

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Data Index: 477480 (C4 (Web Text))

Max Activating Token Index: 110

Text #6

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Max Activating Token Index: 541

Text #7

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Max Activating Token Index: 602

Text #8

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Max Activating Token Index: 136

Text #9

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Text #10

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Max Activating Token Index: 205

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Max Activating Token Index: 181

Text #12

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Max Activating Token Index: 483

Text #13

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Max Activating Token Index: 898

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: 568250 (C4 (Web Text))

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Text #19

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Data Index: 651157 (C4 (Web Text))

Max Activating Token Index: 202