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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 372 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.1913. Min Act: -0.0002

Data Index: 938424 (C4 (Web Text))

Max Activating Token Index: 452

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Text #1

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Data Index: 8372 (C4 (Web Text))

Max Activating Token Index: 396

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Text #2

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Max Act: 0.1392. Min Act: -0.0002

Data Index: 1319664 (C4 (Web Text))

Max Activating Token Index: 904

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Text #3

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Data Index: 855172 (C4 (Web Text))

Max Activating Token Index: 985

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Truncated

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Text #4

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Data Index: 391972 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #5

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Data Index: 1128700 (C4 (Web Text))

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Text #6

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Data Index: 637076 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 15762 (C4 (Web Text))

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Text #9

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Data Index: 920038 (C4 (Web Text))

Max Activating Token Index: 438

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Text #10

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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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Data Index: 1154843 (C4 (Web Text))

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Text #18

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Data Index: 1338823 (C4 (Web Text))

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Text #19

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Max Activating Token Index: 382

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