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

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

Neuron 203 in Layer 7

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



Text #0

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Max Act: 1.9964. Min Act: -0.0000

Data Index: 561742 (C4 (Web Text))

Max Activating Token Index: 424

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Text #1

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Max Act: 1.7036. Min Act: -0.0000

Data Index: 1443669 (Python Code)

Max Activating Token Index: 576

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Truncated

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Text #2

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Max Act: 1.4900. Min Act: -0.0000

Data Index: 176205 (C4 (Web Text))

Max Activating Token Index: 110

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Text #3

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Max Act: 1.4080. Min Act: -0.0000

Data Index: 1046106 (C4 (Web Text))

Max Activating Token Index: 886

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Truncated

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Text #4

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Data Index: 1512202 (Python Code)

Max Activating Token Index: 22

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Truncated

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Text #5

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Data Index: 70891 (C4 (Web Text))

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Text #6

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Data Index: 829916 (C4 (Web Text))

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Text #7

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Data Index: 588747 (C4 (Web Text))

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Text #8

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Data Index: 124951 (C4 (Web Text))

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Text #9

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Data Index: 626944 (C4 (Web Text))

Max Activating Token Index: 233

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Text #10

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Text #11

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Text #12

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Data Index: 291627 (C4 (Web Text))

Max Activating Token Index: 717

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Text #13

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Text #14

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Data Index: 183074 (C4 (Web Text))

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Text #15

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Data Index: 397005 (C4 (Web Text))

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Text #16

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Data Index: 885959 (C4 (Web Text))

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Text #17

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Max Act: 1.3889. Min Act: -0.0000

Data Index: 1092105 (C4 (Web Text))

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Text #18

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Max Act: 1.2679. Min Act: -0.0000

Data Index: 1089729 (C4 (Web Text))

Max Activating Token Index: 216

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Text #19

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Data Index: 1351609 (C4 (Web Text))

Max Activating Token Index: 670

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