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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 667 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 1.8345. Min Act: -0.0001

Data Index: 1113029 (C4 (Web Text))

Max Activating Token Index: 198

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Text #1

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Max Act: 1.3730. Min Act: -0.0001

Data Index: 624104 (C4 (Web Text))

Max Activating Token Index: 227

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Text #2

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Max Act: 1.3165. Min Act: -0.0001

Data Index: 752695 (C4 (Web Text))

Max Activating Token Index: 178

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Text #3

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Max Act: 1.4107. Min Act: -0.0002

Data Index: 609655 (C4 (Web Text))

Max Activating Token Index: 732

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Text #4

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Max Act: 1.2955. Min Act: -0.0001

Data Index: 777064 (C4 (Web Text))

Max Activating Token Index: 754

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Text #5

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Data Index: 476565 (C4 (Web Text))

Max Activating Token Index: 132

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Text #6

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Data Index: 1299321 (C4 (Web Text))

Max Activating Token Index: 575

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Text #7

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Data Index: 603168 (C4 (Web Text))

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Text #8

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Data Index: 1293906 (C4 (Web Text))

Max Activating Token Index: 591

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Text #9

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Data Index: 1127991 (C4 (Web Text))

Max Activating Token Index: 507

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Text #10

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Data Index: 924937 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 287353 (C4 (Web Text))

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Text #13

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Data Index: 268225 (C4 (Web Text))

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Text #14

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Data Index: 406688 (C4 (Web Text))

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Text #15

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Data Index: 1053468 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 281142 (C4 (Web Text))

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Text #18

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Data Index: 339344 (C4 (Web Text))

Max Activating Token Index: 53

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Text #19

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Data Index: 630744 (C4 (Web Text))

Max Activating Token Index: 802

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