Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1233 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0125. Min Act: -0.0004

Data Index: 1329294 (C4 (Web Text))

Max Activating Token Index: 288

Text #1

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 388316 (C4 (Web Text))

Max Activating Token Index: 634

Text #2

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 611008 (C4 (Web Text))

Max Activating Token Index: 498

Text #3

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Data Index: 261059 (C4 (Web Text))

Max Activating Token Index: 165

Text #4

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 138651 (C4 (Web Text))

Max Activating Token Index: 407

Text #5

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 617886 (C4 (Web Text))

Max Activating Token Index: 766

Text #6

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Data Index: 1197549 (C4 (Web Text))

Max Activating Token Index: 418

Text #7

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Max Activating Token Index: 619

Text #8

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Max Activating Token Index: 855

Text #9

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Data Index: 108920 (C4 (Web Text))

Max Activating Token Index: 816

Text #10

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Data Index: 1257581 (C4 (Web Text))

Max Activating Token Index: 570

Text #11

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Max Activating Token Index: 882

Text #12

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Max Activating Token Index: 703

Text #13

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Max Activating Token Index: 895

Text #14

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Max Activating Token Index: 928

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 608

Text #18

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Text #19

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Data Index: 958385 (C4 (Web Text))

Max Activating Token Index: 280