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

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

Neuron 321 in Layer 2

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



Text #0

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Max Act: 0.0846. Min Act: -0.0005

Data Index: 476523 (C4 (Web Text))

Max Activating Token Index: 120

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Text #1

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Data Index: 909095 (C4 (Web Text))

Max Activating Token Index: 222

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Text #2

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Max Act: 0.0769. Min Act: -0.0005

Data Index: 1419733 (Python Code)

Max Activating Token Index: 220

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Text #3

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Max Act: 0.0766. Min Act: -0.0005

Data Index: 266937 (C4 (Web Text))

Max Activating Token Index: 874

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Text #4

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Max Act: 0.0718. Min Act: -0.0005

Data Index: 614815 (C4 (Web Text))

Max Activating Token Index: 735

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Text #5

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Data Index: 1023199 (C4 (Web Text))

Max Activating Token Index: 238

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Text #6

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Data Index: 1165986 (C4 (Web Text))

Max Activating Token Index: 858

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Text #7

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Data Index: 952723 (C4 (Web Text))

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Text #8

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Data Index: 1350147 (C4 (Web Text))

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Text #9

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Data Index: 538807 (C4 (Web Text))

Max Activating Token Index: 322

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Text #10

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Data Index: 1580617 (Python Code)

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Text #11

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Data Index: 434633 (C4 (Web Text))

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Text #12

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Data Index: 813230 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1218647 (C4 (Web Text))

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Text #15

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Data Index: 1546721 (Python Code)

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Text #16

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Data Index: 288592 (C4 (Web Text))

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Text #17

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Data Index: 917802 (C4 (Web Text))

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Text #18

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Data Index: 627084 (C4 (Web Text))

Max Activating Token Index: 521

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Text #19

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Data Index: 440425 (C4 (Web Text))

Max Activating Token Index: 433

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