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

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

Neuron 90 in Layer 1

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

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Text #0

Max Range: 1.1619. Min Range: -1.1619

Max Act: 1.1619. Min Act: -0.0003

Data Index: 154686 (C4 (Web Text))

Max Activating Token Index: 2

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Text #1

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Max Act: 1.0006. Min Act: -0.0002

Data Index: 1008064 (C4 (Web Text))

Max Activating Token Index: 849

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Truncated

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Text #2

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Max Act: 0.9612. Min Act: -0.0002

Data Index: 894339 (C4 (Web Text))

Max Activating Token Index: 6

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Text #3

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Max Act: 0.9478. Min Act: -0.0002

Data Index: 45075 (C4 (Web Text))

Max Activating Token Index: 715

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Text #4

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Max Act: 0.9653. Min Act: -0.0002

Data Index: 1638221 (Python Code)

Max Activating Token Index: 6

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Text #5

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Max Act: 0.9628. Min Act: -0.0002

Data Index: 1115425 (C4 (Web Text))

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Text #6

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Data Index: 959452 (C4 (Web Text))

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Text #7

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Data Index: 1109155 (C4 (Web Text))

Max Activating Token Index: 797

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Truncated

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Text #8

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Max Act: 0.9280. Min Act: -0.0003

Data Index: 469031 (C4 (Web Text))

Max Activating Token Index: 693

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Text #9

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Max Act: 0.9438. Min Act: -0.0002

Data Index: 1174404 (C4 (Web Text))

Max Activating Token Index: 13

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Text #10

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Data Index: 367667 (C4 (Web Text))

Max Activating Token Index: 523

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Text #11

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Data Index: 31808 (C4 (Web Text))

Max Activating Token Index: 68

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Text #12

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Data Index: 805536 (C4 (Web Text))

Max Activating Token Index: 238

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Text #13

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Data Index: 1166750 (C4 (Web Text))

Max Activating Token Index: 679

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Text #14

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Data Index: 322322 (C4 (Web Text))

Max Activating Token Index: 7

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Text #15

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Max Act: 0.9052. Min Act: -0.0002

Data Index: 1001810 (C4 (Web Text))

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Text #16

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Data Index: 1247729 (C4 (Web Text))

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Text #17

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Max Act: 0.8922. Min Act: -0.0002

Data Index: 930138 (C4 (Web Text))

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Text #18

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Max Act: 0.9067. Min Act: -0.0002

Data Index: 999894 (C4 (Web Text))

Max Activating Token Index: 13

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Text #19

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Data Index: 1109918 (C4 (Web Text))

Max Activating Token Index: 674

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