Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1264 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0479. Min Act: -0.0004

Data Index: 33644 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0485. Min Act: -0.0004

Data Index: 1257562 (C4 (Web Text))

Max Activating Token Index: 29

Text #2

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Data Index: 1054168 (C4 (Web Text))

Max Activating Token Index: 598

Text #3

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Max Act: 0.0516. Min Act: -0.0004

Data Index: 819860 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Data Index: 673099 (C4 (Web Text))

Max Activating Token Index: 716

Text #5

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Data Index: 348220 (C4 (Web Text))

Max Activating Token Index: 912

Text #6

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Max Activating Token Index: 325

Text #7

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Text #8

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Max Activating Token Index: 288

Text #9

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Max Activating Token Index: 779

Text #10

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Text #11

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Max Activating Token Index: 196

Text #12

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Max Activating Token Index: 651

Text #13

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Max Activating Token Index: 964

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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Text #19

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Data Index: 804712 (C4 (Web Text))

Max Activating Token Index: 174