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

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

Neuron 1001 in Layer 0

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

Text #0

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Max Act: 0.0099. Min Act: -0.0005

Data Index: 710058 (C4 (Web Text))

Max Activating Token Index: 347

Text #1

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Max Act: 0.0094. Min Act: -0.0006

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Max Activating Token Index: 366

Text #2

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Max Act: 0.0092. Min Act: -0.0005

Data Index: 363054 (C4 (Web Text))

Max Activating Token Index: 412

Text #3

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Max Act: 0.0094. Min Act: -0.0006

Data Index: 456391 (C4 (Web Text))

Max Activating Token Index: 635

Text #4

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Max Act: 0.0091. Min Act: -0.0005

Data Index: 782811 (C4 (Web Text))

Max Activating Token Index: 60

Text #5

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Max Act: 0.0092. Min Act: -0.0005

Data Index: 584019 (C4 (Web Text))

Max Activating Token Index: 614

Text #6

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Max Activating Token Index: 730

Text #7

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Max Activating Token Index: 786

Text #8

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Max Activating Token Index: 516

Text #9

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Data Index: 503647 (C4 (Web Text))

Max Activating Token Index: 857

Text #10

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Data Index: 325217 (C4 (Web Text))

Max Activating Token Index: 552

Text #11

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Max Activating Token Index: 635

Text #12

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Max Activating Token Index: 163

Text #13

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Max Activating Token Index: 185

Text #14

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Data Index: 147001 (C4 (Web Text))

Max Activating Token Index: 628

Text #15

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Max Activating Token Index: 823

Text #16

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Max Activating Token Index: 561

Text #17

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Max Activating Token Index: 671

Text #18

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Data Index: 931438 (C4 (Web Text))

Max Activating Token Index: 586

Text #19

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Data Index: 1016518 (C4 (Web Text))

Max Activating Token Index: 472