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

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

Neuron 785 in Layer 0

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

Text #0

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Max Act: 0.0211. Min Act: -0.0005

Data Index: 1565578 (Python Code)

Max Activating Token Index: 1015

Text #1

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Max Act: 0.0204. Min Act: -0.0005

Data Index: 922155 (C4 (Web Text))

Max Activating Token Index: 831

Text #2

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Max Act: 0.0195. Min Act: -0.0006

Data Index: 148632 (C4 (Web Text))

Max Activating Token Index: 737

Text #3

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Max Act: 0.0194. Min Act: -0.0005

Data Index: 1437350 (Python Code)

Max Activating Token Index: 1019

Text #4

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Max Act: 0.0193. Min Act: -0.0005

Data Index: 256858 (C4 (Web Text))

Max Activating Token Index: 876

Text #5

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Max Act: 0.0198. Min Act: -0.0005

Data Index: 1474085 (Python Code)

Max Activating Token Index: 579

Text #6

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Data Index: 971724 (C4 (Web Text))

Max Activating Token Index: 871

Text #7

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Max Activating Token Index: 691

Text #8

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Max Activating Token Index: 925

Text #9

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Data Index: 368643 (C4 (Web Text))

Max Activating Token Index: 826

Text #10

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Max Activating Token Index: 940

Text #11

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Max Activating Token Index: 776

Text #12

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Data Index: 8940 (C4 (Web Text))

Max Activating Token Index: 416

Text #13

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Data Index: 255655 (C4 (Web Text))

Max Activating Token Index: 773

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 585

Text #18

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Data Index: 973281 (C4 (Web Text))

Max Activating Token Index: 767

Text #19

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Data Index: 753132 (C4 (Web Text))

Max Activating Token Index: 804