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

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

Neuron 32 in Layer 8

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



Text #0

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Max Act: 0.4351. Min Act: -0.0000

Data Index: 192830 (C4 (Web Text))

Max Activating Token Index: 63

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Text #1

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Max Act: 0.3875. Min Act: -0.0000

Data Index: 375195 (C4 (Web Text))

Max Activating Token Index: 541

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Text #2

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Max Act: 0.3921. Min Act: -0.0000

Data Index: 894049 (C4 (Web Text))

Max Activating Token Index: 238

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Text #3

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Max Act: 0.3503. Min Act: -0.0000

Data Index: 175987 (C4 (Web Text))

Max Activating Token Index: 321

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Truncated

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Text #4

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Max Act: 0.3094. Min Act: -0.0000

Data Index: 1008447 (C4 (Web Text))

Max Activating Token Index: 554

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Truncated

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Text #5

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Data Index: 553013 (C4 (Web Text))

Max Activating Token Index: 157

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Text #6

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Data Index: 794775 (C4 (Web Text))

Max Activating Token Index: 234

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Text #7

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Data Index: 416220 (C4 (Web Text))

Max Activating Token Index: 410

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Truncated

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Text #8

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Data Index: 817234 (C4 (Web Text))

Max Activating Token Index: 533

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Text #9

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Data Index: 700565 (C4 (Web Text))

Max Activating Token Index: 878

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Text #10

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Data Index: 784972 (C4 (Web Text))

Max Activating Token Index: 107

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Text #11

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Max Activating Token Index: 198

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Text #12

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Data Index: 1531654 (Python Code)

Max Activating Token Index: 734

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Text #13

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Text #14

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Data Index: 1273040 (C4 (Web Text))

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Text #15

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Data Index: 544027 (C4 (Web Text))

Max Activating Token Index: 606

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Text #16

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Data Index: 1415107 (Python Code)

Max Activating Token Index: 391

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Text #17

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Data Index: 1524553 (Python Code)

Max Activating Token Index: 268

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Text #18

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Max Act: 0.2239. Min Act: -0.0000

Data Index: 816612 (C4 (Web Text))

Max Activating Token Index: 484

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Text #19

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Max Act: 0.2208. Min Act: -0.0000

Data Index: 963286 (C4 (Web Text))

Max Activating Token Index: 720

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