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

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

Neuron 688 in Layer 0

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

Text #0

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Max Act: 0.0053. Min Act: -0.0004

Data Index: 480300 (C4 (Web Text))

Max Activating Token Index: 934

Text #1

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Max Act: 0.0050. Min Act: -0.0004

Data Index: 332772 (C4 (Web Text))

Max Activating Token Index: 33

Text #2

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Max Act: 0.0048. Min Act: -0.0004

Data Index: 1214498 (C4 (Web Text))

Max Activating Token Index: 235

Text #3

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Max Act: 0.0048. Min Act: -0.0004

Data Index: 764995 (C4 (Web Text))

Max Activating Token Index: 555

Text #4

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Max Act: 0.0047. Min Act: -0.0004

Data Index: 758865 (C4 (Web Text))

Max Activating Token Index: 935

Text #5

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Data Index: 157810 (C4 (Web Text))

Max Activating Token Index: 27

Text #6

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Max Activating Token Index: 1012

Text #7

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Max Activating Token Index: 441

Text #8

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Text #9

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Max Activating Token Index: 615

Text #10

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Data Index: 509196 (C4 (Web Text))

Max Activating Token Index: 557

Text #11

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Max Activating Token Index: 551

Text #12

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Max Activating Token Index: 48

Text #13

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Max Activating Token Index: 389

Text #14

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Max Activating Token Index: 612

Text #15

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Max Activating Token Index: 1020

Text #16

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Text #17

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Max Activating Token Index: 291

Text #18

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Data Index: 1583019 (Python Code)

Max Activating Token Index: 746

Text #19

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Max Act: 0.0044. Min Act: -0.0004

Data Index: 957702 (C4 (Web Text))

Max Activating Token Index: 112