Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 137 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0318. Min Act: -0.0003

Data Index: 951096 (C4 (Web Text))

Max Activating Token Index: 639

Text #1

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Max Activating Token Index: 938

Text #2

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Max Activating Token Index: 465

Text #3

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Max Act: 0.0273. Min Act: -0.0003

Data Index: 1105298 (C4 (Web Text))

Max Activating Token Index: 765

Text #4

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Max Activating Token Index: 728

Text #5

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Max Activating Token Index: 774

Text #6

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Max Activating Token Index: 842

Text #7

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Max Activating Token Index: 478

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Text #9

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Text #10

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Data Index: 1367149 (Python Code)

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Text #12

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Max Activating Token Index: 608

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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Text #18

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Max Activating Token Index: 635

Text #19

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Data Index: 1223680 (C4 (Web Text))

Max Activating Token Index: 684