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

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

Neuron 23 in Layer 3

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



Text #0

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Max Act: 0.1388. Min Act: -0.0001

Data Index: 351989 (C4 (Web Text))

Max Activating Token Index: 36

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Text #1

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Max Act: 0.1042. Min Act: -0.0001

Data Index: 143879 (C4 (Web Text))

Max Activating Token Index: 670

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Text #2

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Max Act: 0.1038. Min Act: -0.0001

Data Index: 1427616 (Python Code)

Max Activating Token Index: 173

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Text #3

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Data Index: 401218 (C4 (Web Text))

Max Activating Token Index: 655

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Truncated

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Text #4

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Data Index: 916714 (C4 (Web Text))

Max Activating Token Index: 485

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Truncated

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Text #5

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Data Index: 455461 (C4 (Web Text))

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Text #6

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Data Index: 620139 (C4 (Web Text))

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Text #7

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Data Index: 580553 (C4 (Web Text))

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Text #8

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Data Index: 1122980 (C4 (Web Text))

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Text #9

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Data Index: 462495 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Data Index: 763356 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1643421 (Python Code)

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Text #15

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Data Index: 53743 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 859564 (C4 (Web Text))

Max Activating Token Index: 79

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Text #18

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Data Index: 1488476 (Python Code)

Max Activating Token Index: 130

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Text #19

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Data Index: 998957 (C4 (Web Text))

Max Activating Token Index: 775

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