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

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

Neuron 348 in Layer 1

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



Text #0

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Max Act: 0.0169. Min Act: -0.0004

Data Index: 1471779 (Python Code)

Max Activating Token Index: 412

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Text #1

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Max Act: 0.0144. Min Act: -0.0004

Data Index: 537231 (C4 (Web Text))

Max Activating Token Index: 527

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Truncated

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Text #2

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Max Act: 0.0145. Min Act: -0.0004

Data Index: 1328498 (C4 (Web Text))

Max Activating Token Index: 530

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Text #3

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Data Index: 1392662 (Python Code)

Max Activating Token Index: 857

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Text #4

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 468149 (C4 (Web Text))

Max Activating Token Index: 732

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Text #5

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Data Index: 1173550 (C4 (Web Text))

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Text #6

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Data Index: 3385 (C4 (Web Text))

Max Activating Token Index: 555

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Text #7

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Data Index: 867142 (C4 (Web Text))

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Text #8

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Data Index: 1064242 (C4 (Web Text))

Max Activating Token Index: 817

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Text #9

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Data Index: 478463 (C4 (Web Text))

Max Activating Token Index: 674

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Text #10

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Data Index: 70978 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 500837 (C4 (Web Text))

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Text #13

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Data Index: 1583764 (Python Code)

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Text #14

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Data Index: 132140 (C4 (Web Text))

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Text #15

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Data Index: 181661 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1063008 (C4 (Web Text))

Max Activating Token Index: 575

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Text #18

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Max Act: 0.0149. Min Act: -0.0004

Data Index: 473962 (C4 (Web Text))

Max Activating Token Index: 781

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Text #19

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Data Index: 383912 (C4 (Web Text))

Max Activating Token Index: 835

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