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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 31 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0388. Min Act: -0.0002

Data Index: 141330 (C4 (Web Text))

Max Activating Token Index: 596

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Text #1

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Data Index: 820327 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0221. Min Act: -0.0002

Data Index: 603411 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Data Index: 1247116 (C4 (Web Text))

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Truncated

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Text #4

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Data Index: 1350634 (C4 (Web Text))

Max Activating Token Index: 30

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Text #5

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Data Index: 547728 (C4 (Web Text))

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Text #6

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Data Index: 559409 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 1305341 (C4 (Web Text))

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Text #9

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Data Index: 860688 (C4 (Web Text))

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Truncated

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Text #10

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Truncated

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Text #11

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Truncated

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Text #12

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Text #13

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Truncated

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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: 583474 (C4 (Web Text))

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Text #18

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Data Index: 1167530 (C4 (Web Text))

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Text #19

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Data Index: 709883 (C4 (Web Text))

Max Activating Token Index: 1023

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