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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4148 in Layer 8

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.6496. Min Act: -0.0000

Data Index: 1273867 (C4 (Web Text))

Max Activating Token Index: 487

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Text #1

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Data Index: 1075949 (C4 (Web Text))

Max Activating Token Index: 406

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Text #2

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Max Act: 0.4856. Min Act: -0.0000

Data Index: 142670 (C4 (Web Text))

Max Activating Token Index: 952

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Text #3

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Max Act: 0.5043. Min Act: -0.0000

Data Index: 482375 (C4 (Web Text))

Max Activating Token Index: 946

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Truncated

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Text #4

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Data Index: 392220 (C4 (Web Text))

Max Activating Token Index: 187

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Text #5

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Data Index: 354797 (C4 (Web Text))

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Text #6

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Data Index: 4071 (C4 (Web Text))

Max Activating Token Index: 206

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Text #7

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Data Index: 430122 (C4 (Web Text))

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Text #8

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Data Index: 737865 (C4 (Web Text))

Max Activating Token Index: 169

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Text #9

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Data Index: 973519 (C4 (Web Text))

Max Activating Token Index: 942

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Text #10

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Data Index: 525943 (C4 (Web Text))

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Text #11

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Data Index: 409382 (C4 (Web Text))

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Text #12

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Data Index: 940452 (C4 (Web Text))

Max Activating Token Index: 250

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Text #13

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Data Index: 1496942 (Python Code)

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Text #14

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Data Index: 635812 (C4 (Web Text))

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Text #15

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Data Index: 1650105 (Python Code)

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Text #16

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Text #17

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Data Index: 1303486 (C4 (Web Text))

Max Activating Token Index: 792

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Text #18

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Data Index: 996584 (C4 (Web Text))

Max Activating Token Index: 48

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Text #19

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Data Index: 1390998 (Python Code)

Max Activating Token Index: 522

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