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

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

Neuron 1464 in Layer 1

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

Text #0

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Max Act: 0.0462. Min Act: -0.0006

Data Index: 1035117 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Activating Token Index: 268

Text #2

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Max Act: 0.0390. Min Act: -0.0006

Data Index: 42846 (C4 (Web Text))

Max Activating Token Index: 710

Text #3

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Max Act: 0.0386. Min Act: -0.0006

Data Index: 995048 (C4 (Web Text))

Max Activating Token Index: 414

Text #4

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Data Index: 188663 (C4 (Web Text))

Max Activating Token Index: 627

Text #5

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Max Activating Token Index: 684

Text #6

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Max Activating Token Index: 783

Text #7

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Max Activating Token Index: 299

Text #8

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Max Activating Token Index: 276

Text #9

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Max Activating Token Index: 483

Text #10

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Max Activating Token Index: 113

Text #11

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Max Activating Token Index: 27

Text #12

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Max Activating Token Index: 851

Text #13

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Max Activating Token Index: 317

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 202

Text #17

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Max Activating Token Index: 372

Text #18

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Text #19

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Data Index: 626810 (C4 (Web Text))

Max Activating Token Index: 332