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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 37 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.1796. Min Act: -0.0002

Data Index: 13832 (C4 (Web Text))

Max Activating Token Index: 434

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Text #1

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Data Index: 58267 (C4 (Web Text))

Max Activating Token Index: 419

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Truncated

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Text #2

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Data Index: 1192632 (C4 (Web Text))

Max Activating Token Index: 118

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Text #3

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Data Index: 1169653 (C4 (Web Text))

Max Activating Token Index: 569

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Truncated

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Text #4

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Data Index: 839317 (C4 (Web Text))

Max Activating Token Index: 764

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Truncated

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Text #5

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Data Index: 658612 (C4 (Web Text))

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Text #6

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Text #7

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Truncated

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Text #8

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Data Index: 1125708 (C4 (Web Text))

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Text #9

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Data Index: 214002 (C4 (Web Text))

Max Activating Token Index: 786

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Truncated

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Text #10

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Max Activating Token Index: 808

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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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Data Index: 507452 (C4 (Web Text))

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Text #13

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Truncated

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Text #14

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Data Index: 693179 (C4 (Web Text))

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Text #15

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Data Index: 1117932 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Text #18

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Data Index: 98279 (C4 (Web Text))

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Truncated

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Text #19

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Max Activating Token Index: 43

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