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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1543 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.3989. Min Act: -0.0002

Data Index: 581984 (C4 (Web Text))

Max Activating Token Index: 579

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Text #1

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Max Act: 0.3792. Min Act: -0.0002

Data Index: 429742 (C4 (Web Text))

Max Activating Token Index: 995

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Text #2

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Max Act: 0.3369. Min Act: -0.0002

Data Index: 1143025 (C4 (Web Text))

Max Activating Token Index: 686

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Text #3

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Max Act: 0.3260. Min Act: -0.0002

Data Index: 947062 (C4 (Web Text))

Max Activating Token Index: 273

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Truncated

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Text #4

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Max Act: 0.3163. Min Act: -0.0003

Data Index: 1506658 (Python Code)

Max Activating Token Index: 230

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Text #5

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Data Index: 485345 (C4 (Web Text))

Max Activating Token Index: 801

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Text #6

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Data Index: 1472777 (Python Code)

Max Activating Token Index: 662

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Text #7

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Data Index: 641151 (C4 (Web Text))

Max Activating Token Index: 785

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Truncated

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Text #8

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Data Index: 989283 (C4 (Web Text))

Max Activating Token Index: 595

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Text #9

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Data Index: 53936 (C4 (Web Text))

Max Activating Token Index: 161

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Text #10

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Data Index: 596921 (C4 (Web Text))

Max Activating Token Index: 516

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Text #11

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Data Index: 439016 (C4 (Web Text))

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Text #12

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Data Index: 809239 (C4 (Web Text))

Max Activating Token Index: 535

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Text #13

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Data Index: 1506520 (Python Code)

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Text #14

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Data Index: 1236154 (C4 (Web Text))

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Text #15

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Data Index: 1231373 (C4 (Web Text))

Max Activating Token Index: 481

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Text #16

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Data Index: 1042646 (C4 (Web Text))

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Text #17

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Max Act: 0.3024. Min Act: -0.0002

Data Index: 1174597 (C4 (Web Text))

Max Activating Token Index: 516

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Text #18

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Max Act: 0.2918. Min Act: -0.0003

Data Index: 28493 (C4 (Web Text))

Max Activating Token Index: 677

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Text #19

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Max Act: 0.3113. Min Act: -0.0003

Data Index: 1262326 (C4 (Web Text))

Max Activating Token Index: 826

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