Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 44 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0125. Min Act: -0.0004

Data Index: 995866 (C4 (Web Text))

Max Activating Token Index: 632

Text #1

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Max Act: 0.0201. Min Act: -0.0004

Data Index: 806566 (C4 (Web Text))

Max Activating Token Index: 832

Text #2

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Max Act: 0.0185. Min Act: -0.0004

Data Index: 353776 (C4 (Web Text))

Max Activating Token Index: 847

Text #3

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Max Act: 0.0210. Min Act: -0.0004

Data Index: 1199104 (C4 (Web Text))

Max Activating Token Index: 986

Text #4

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Data Index: 1265179 (C4 (Web Text))

Max Activating Token Index: 419

Text #5

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Data Index: 371291 (C4 (Web Text))

Max Activating Token Index: 536

Text #6

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Data Index: 804580 (C4 (Web Text))

Max Activating Token Index: 320

Text #7

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Max Activating Token Index: 783

Text #8

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Max Activating Token Index: 602

Text #9

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Data Index: 366119 (C4 (Web Text))

Max Activating Token Index: 349

Text #10

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Data Index: 921843 (C4 (Web Text))

Max Activating Token Index: 811

Text #11

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Data Index: 15787 (C4 (Web Text))

Max Activating Token Index: 785

Text #12

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Data Index: 1174638 (C4 (Web Text))

Max Activating Token Index: 864

Text #13

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Max Activating Token Index: 926

Text #14

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Max Activating Token Index: 678

Text #15

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Max Activating Token Index: 661

Text #16

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Max Activating Token Index: 840

Text #17

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Max Activating Token Index: 871

Text #18

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Max Activating Token Index: 502

Text #19

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Data Index: 717572 (C4 (Web Text))

Max Activating Token Index: 535