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

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

Neuron 13 in Layer 3

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



Text #0

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Max Act: 0.0883. Min Act: -0.0001

Data Index: 1266461 (C4 (Web Text))

Max Activating Token Index: 270

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Text #1

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Max Act: 0.0770. Min Act: -0.0002

Data Index: 162398 (C4 (Web Text))

Max Activating Token Index: 856

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Truncated

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Text #2

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Max Act: 0.0816. Min Act: -0.0002

Data Index: 734449 (C4 (Web Text))

Max Activating Token Index: 325

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Text #3

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Data Index: 1005807 (C4 (Web Text))

Max Activating Token Index: 369

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Truncated

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Text #4

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Data Index: 36822 (C4 (Web Text))

Max Activating Token Index: 269

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Truncated

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Text #5

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Data Index: 816039 (C4 (Web Text))

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Text #6

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Data Index: 1067891 (C4 (Web Text))

Max Activating Token Index: 578

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Text #7

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Data Index: 567287 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 755905 (C4 (Web Text))

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Text #9

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Data Index: 1203248 (C4 (Web Text))

Max Activating Token Index: 235

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Text #10

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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: 967151 (C4 (Web Text))

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Text #18

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Data Index: 323123 (C4 (Web Text))

Max Activating Token Index: 980

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Text #19

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Data Index: 479644 (C4 (Web Text))

Max Activating Token Index: 758

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