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

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

Neuron 843 in Layer 0

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

Text #0

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Max Act: 0.0257. Min Act: -0.0004

Data Index: 292614 (C4 (Web Text))

Max Activating Token Index: 292

Text #1

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Data Index: 1268136 (C4 (Web Text))

Max Activating Token Index: 847

Text #2

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Data Index: 1292943 (C4 (Web Text))

Max Activating Token Index: 615

Text #3

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Max Act: 0.0247. Min Act: -0.0005

Data Index: 108085 (C4 (Web Text))

Max Activating Token Index: 997

Text #4

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Max Act: 0.0247. Min Act: -0.0004

Data Index: 394222 (C4 (Web Text))

Max Activating Token Index: 444

Text #5

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Data Index: 414695 (C4 (Web Text))

Max Activating Token Index: 737

Text #6

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Data Index: 133897 (C4 (Web Text))

Max Activating Token Index: 545

Text #7

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Max Activating Token Index: 558

Text #8

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Max Activating Token Index: 245

Text #9

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Max Activating Token Index: 468

Text #10

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Max Activating Token Index: 12

Text #11

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Max Activating Token Index: 112

Text #12

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Max Activating Token Index: 460

Text #13

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Max Activating Token Index: 499

Text #14

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Data Index: 107457 (C4 (Web Text))

Max Activating Token Index: 913

Text #15

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Max Activating Token Index: 7

Text #16

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Text #17

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Max Activating Token Index: 904

Text #18

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Max Activating Token Index: 87

Text #19

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Max Act: 0.0229. Min Act: -0.0004

Data Index: 1294093 (C4 (Web Text))

Max Activating Token Index: 503