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

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

Neuron 210 in Layer 2

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



Text #0

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Max Act: 0.1099. Min Act: -0.0002

Data Index: 838332 (C4 (Web Text))

Max Activating Token Index: 24

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Text #1

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Max Act: 0.0912. Min Act: -0.0002

Data Index: 304011 (C4 (Web Text))

Max Activating Token Index: 260

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Text #2

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Max Act: 0.0942. Min Act: -0.0002

Data Index: 219665 (C4 (Web Text))

Max Activating Token Index: 562

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Text #3

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Max Act: 0.0972. Min Act: -0.0002

Data Index: 896592 (C4 (Web Text))

Max Activating Token Index: 936

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Truncated

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Text #4

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Data Index: 142270 (C4 (Web Text))

Max Activating Token Index: 975

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Text #5

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Data Index: 933556 (C4 (Web Text))

Max Activating Token Index: 838

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Text #6

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Data Index: 1323594 (C4 (Web Text))

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Text #7

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Data Index: 487384 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 410448 (C4 (Web Text))

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Text #9

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Data Index: 1061861 (C4 (Web Text))

Max Activating Token Index: 122

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Text #10

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Data Index: 359696 (C4 (Web Text))

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Text #11

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Data Index: 1624319 (Python Code)

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Text #12

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Data Index: 1329317 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1363275 (Python Code)

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Text #15

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Data Index: 86348 (C4 (Web Text))

Max Activating Token Index: 943

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Text #16

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Data Index: 1071840 (C4 (Web Text))

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Text #17

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Data Index: 449047 (C4 (Web Text))

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Text #18

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Max Act: 0.0912. Min Act: -0.0002

Data Index: 563256 (C4 (Web Text))

Max Activating Token Index: 1014

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Text #19

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Data Index: 1021186 (C4 (Web Text))

Max Activating Token Index: 1001

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