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

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

Neuron 37 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: -0.0002

Data Index: 926538 (C4 (Web Text))

Max Activating Token Index: 93

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Text #1

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Max Act: 0.0824. Min Act: -0.0002

Data Index: 900121 (C4 (Web Text))

Max Activating Token Index: 668

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Text #2

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Data Index: 905901 (C4 (Web Text))

Max Activating Token Index: 828

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Text #3

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Data Index: 255159 (C4 (Web Text))

Max Activating Token Index: 805

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Truncated

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Text #4

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Data Index: 606712 (C4 (Web Text))

Max Activating Token Index: 703

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Truncated

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Text #5

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Data Index: 278673 (C4 (Web Text))

Max Activating Token Index: 106

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Text #6

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Data Index: 809079 (C4 (Web Text))

Max Activating Token Index: 274

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Text #7

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Text #8

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Data Index: 1013847 (C4 (Web Text))

Max Activating Token Index: 71

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Text #9

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Data Index: 460679 (C4 (Web Text))

Max Activating Token Index: 377

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Text #10

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Data Index: 245219 (C4 (Web Text))

Max Activating Token Index: 801

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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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Data Index: 385249 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 1246692 (C4 (Web Text))

Max Activating Token Index: 759

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Text #19

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Data Index: 1099922 (C4 (Web Text))

Max Activating Token Index: 604

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