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

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

Neuron 63 in Layer 2

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



Text #0

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Max Act: 0.1008. Min Act: -0.0002

Data Index: 116446 (C4 (Web Text))

Max Activating Token Index: 75

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Text #1

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Data Index: 998809 (C4 (Web Text))

Max Activating Token Index: 182

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Text #2

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Data Index: 1024012 (C4 (Web Text))

Max Activating Token Index: 176

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Text #3

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Data Index: 1144434 (C4 (Web Text))

Max Activating Token Index: 114

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Truncated

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Text #4

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Data Index: 373332 (C4 (Web Text))

Max Activating Token Index: 343

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Truncated

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Text #5

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Data Index: 471308 (C4 (Web Text))

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Text #6

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Data Index: 1041519 (C4 (Web Text))

Max Activating Token Index: 66

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Text #7

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Truncated

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Text #8

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Data Index: 1008476 (C4 (Web Text))

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Text #9

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Data Index: 1194792 (C4 (Web Text))

Max Activating Token Index: 999

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Text #10

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Max Activating Token Index: 806

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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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Data Index: 1268933 (C4 (Web Text))

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Text #18

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Data Index: 858725 (C4 (Web Text))

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Text #19

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Data Index: 885036 (C4 (Web Text))

Max Activating Token Index: 20

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