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

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

Neuron 1300 in Layer 0

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



Text #0

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Max Act: 0.0695. Min Act: -0.0002

Data Index: 1405583 (Python Code)

Max Activating Token Index: 90

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Text #1

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Data Index: 589759 (C4 (Web Text))

Max Activating Token Index: 505

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Text #2

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Data Index: 312528 (C4 (Web Text))

Max Activating Token Index: 248

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Text #3

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Data Index: 961685 (C4 (Web Text))

Max Activating Token Index: 9

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Text #4

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Data Index: 87537 (C4 (Web Text))

Max Activating Token Index: 215

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Text #5

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Data Index: 1537075 (Python Code)

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Text #6

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Data Index: 518054 (C4 (Web Text))

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Text #7

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Data Index: 1128160 (C4 (Web Text))

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Text #8

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Data Index: 85597 (C4 (Web Text))

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Text #9

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Data Index: 670202 (C4 (Web Text))

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Text #10

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Data Index: 1127912 (C4 (Web Text))

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Text #11

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Data Index: 1217765 (C4 (Web Text))

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Text #12

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Data Index: 845788 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 478538 (C4 (Web Text))

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Text #16

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Data Index: 318570 (C4 (Web Text))

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Text #17

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Data Index: 623396 (C4 (Web Text))

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Text #18

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Data Index: 822360 (C4 (Web Text))

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Text #19

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Data Index: 300738 (C4 (Web Text))

Max Activating Token Index: 69

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