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Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 61 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')



Text #0

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Max Act: 0.0787. Min Act: -0.0003

Data Index: 895470 (C4 (Web Text))

Max Activating Token Index: 961

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Text #1

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Max Act: 0.0739. Min Act: -0.0003

Data Index: 1375179 (Python Code)

Max Activating Token Index: 915

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Text #2

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Max Act: 0.0764. Min Act: -0.0003

Data Index: 1649729 (Python Code)

Max Activating Token Index: 962

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Text #3

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Max Act: 0.0723. Min Act: -0.0002

Data Index: 1372774 (Python Code)

Max Activating Token Index: 621

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Text #4

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Max Act: 0.0720. Min Act: -0.0000

Data Index: 1537327 (Python Code)

Max Activating Token Index: 839

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Text #5

Max Range: 0.0787. Min Range: -0.0787

Max Act: 0.0715. Min Act: -0.0003

Data Index: 895885 (C4 (Web Text))

Max Activating Token Index: 686

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Text #6

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Max Act: 0.0665. Min Act: -0.0003

Data Index: 1458876 (Python Code)

Max Activating Token Index: 633

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Text #7

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Data Index: 208837 (C4 (Web Text))

Max Activating Token Index: 935

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Text #8

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Data Index: 1648920 (Python Code)

Max Activating Token Index: 376

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Text #9

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Data Index: 1632947 (Python Code)

Max Activating Token Index: 345

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Text #10

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Data Index: 1554674 (Python Code)

Max Activating Token Index: 641

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Text #11

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Data Index: 1566844 (Python Code)

Max Activating Token Index: 611

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Text #12

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Data Index: 1595058 (Python Code)

Max Activating Token Index: 883

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Text #13

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Data Index: 1494668 (Python Code)

Max Activating Token Index: 502

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Text #14

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Data Index: 1529219 (Python Code)

Max Activating Token Index: 489

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Text #15

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Data Index: 1367882 (Python Code)

Max Activating Token Index: 305

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Text #16

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Data Index: 1655901 (Python Code)

Max Activating Token Index: 445

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Text #17

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Max Act: 0.0664. Min Act: -0.0003

Data Index: 1384853 (Python Code)

Max Activating Token Index: 782

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Text #18

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Data Index: 1365571 (Python Code)

Max Activating Token Index: 540

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Text #19

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Max Act: 0.0660. Min Act: -0.0002

Data Index: 1600123 (Python Code)

Max Activating Token Index: 700

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