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

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

Neuron 13 in Layer 6

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



Text #0

Max Range: 2.5138. Min Range: -2.5138

Max Act: 2.2894. Min Act: -0.0000

Data Index: 804442 (C4 (Web Text))

Max Activating Token Index: 154

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Text #1

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Data Index: 220314 (C4 (Web Text))

Max Activating Token Index: 115

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Text #2

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Max Act: 2.4152. Min Act: -0.0000

Data Index: 1092502 (C4 (Web Text))

Max Activating Token Index: 100

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Text #3

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Max Act: 2.4367. Min Act: -0.0000

Data Index: 610733 (C4 (Web Text))

Max Activating Token Index: 831

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Text #4

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Data Index: 1404724 (Python Code)

Max Activating Token Index: 826

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Text #5

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Data Index: 1638971 (Python Code)

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Text #6

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Data Index: 1417709 (Python Code)

Max Activating Token Index: 838

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Text #7

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Data Index: 867333 (C4 (Web Text))

Max Activating Token Index: 951

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Text #8

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Data Index: 915046 (C4 (Web Text))

Max Activating Token Index: 858

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Text #9

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Data Index: 689774 (C4 (Web Text))

Max Activating Token Index: 678

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Text #10

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Data Index: 1398708 (Python Code)

Max Activating Token Index: 764

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Text #11

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Data Index: 1472247 (Python Code)

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Text #12

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Data Index: 1490304 (Python Code)

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Text #13

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Data Index: 1404854 (Python Code)

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Text #14

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Data Index: 1444236 (Python Code)

Max Activating Token Index: 758

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Text #15

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Data Index: 631422 (C4 (Web Text))

Max Activating Token Index: 668

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Text #16

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Data Index: 1579887 (Python Code)

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Text #17

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Data Index: 1618657 (Python Code)

Max Activating Token Index: 1020

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Text #18

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Data Index: 1408413 (Python Code)

Max Activating Token Index: 813

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Text #19

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Data Index: 1365836 (Python Code)

Max Activating Token Index: 1012

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