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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 37 in Layer 7

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.1789. Min Act: -0.0001

Data Index: 1254857 (C4 (Web Text))

Max Activating Token Index: 892

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Text #1

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Max Act: 0.1645. Min Act: -0.0000

Data Index: 687914 (C4 (Web Text))

Max Activating Token Index: 941

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Truncated

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Text #2

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Data Index: 483288 (C4 (Web Text))

Max Activating Token Index: 143

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Text #3

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Max Act: 0.1495. Min Act: -0.0001

Data Index: 872380 (C4 (Web Text))

Max Activating Token Index: 399

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Truncated

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Text #4

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Data Index: 1167017 (C4 (Web Text))

Max Activating Token Index: 583

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Text #5

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Data Index: 922766 (C4 (Web Text))

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Text #6

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Data Index: 151788 (C4 (Web Text))

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Text #7

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Data Index: 484560 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #8

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Data Index: 1576754 (Python Code)

Max Activating Token Index: 710

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Text #9

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Data Index: 676579 (C4 (Web Text))

Max Activating Token Index: 739

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Text #10

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Text #11

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Text #12

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Data Index: 281806 (C4 (Web Text))

Max Activating Token Index: 396

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Text #13

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Data Index: 330811 (C4 (Web Text))

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Text #14

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Data Index: 41591 (C4 (Web Text))

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Text #15

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Data Index: 332734 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 907604 (C4 (Web Text))

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Text #18

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Data Index: 638905 (C4 (Web Text))

Max Activating Token Index: 698

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Text #19

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Data Index: 1175946 (C4 (Web Text))

Max Activating Token Index: 484

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