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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 15 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.1041. Min Act: -0.0005

Data Index: 126239 (C4 (Web Text))

Max Activating Token Index: 21

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Text #1

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Data Index: 673210 (C4 (Web Text))

Max Activating Token Index: 235

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Text #2

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Max Act: 0.0936. Min Act: -0.0005

Data Index: 874074 (C4 (Web Text))

Max Activating Token Index: 104

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Text #3

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Data Index: 505772 (C4 (Web Text))

Max Activating Token Index: 513

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Truncated

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Text #4

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Data Index: 488353 (C4 (Web Text))

Max Activating Token Index: 30

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Truncated

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Text #5

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Data Index: 792189 (C4 (Web Text))

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Text #6

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Data Index: 64110 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 828677 (C4 (Web Text))

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Text #9

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Data Index: 806660 (C4 (Web Text))

Max Activating Token Index: 889

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Text #10

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Data Index: 1298900 (C4 (Web Text))

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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: 526419 (C4 (Web Text))

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Text #18

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Data Index: 1159970 (C4 (Web Text))

Max Activating Token Index: 113

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Text #19

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Data Index: 552086 (C4 (Web Text))

Max Activating Token Index: 967

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