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

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

Neuron 49 in Layer 9

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



Text #0

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Max Act: 0.6504. Min Act: -0.0000

Data Index: 1039329 (C4 (Web Text))

Max Activating Token Index: 947

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Text #1

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Data Index: 483459 (C4 (Web Text))

Max Activating Token Index: 920

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Text #2

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Data Index: 500762 (C4 (Web Text))

Max Activating Token Index: 980

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Text #3

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Data Index: 589661 (C4 (Web Text))

Max Activating Token Index: 871

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Text #4

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Data Index: 1310633 (C4 (Web Text))

Max Activating Token Index: 198

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Text #5

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Data Index: 996364 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 975699 (C4 (Web Text))

Max Activating Token Index: 566

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Text #10

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Text #11

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Text #12

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Text #13

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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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Data Index: 413662 (C4 (Web Text))

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Text #19

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Data Index: 496184 (C4 (Web Text))

Max Activating Token Index: 520

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