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

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

Neuron 604 in Layer 0

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

Text #0

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Max Act: 0.0122. Min Act: -0.0005

Data Index: 995460 (C4 (Web Text))

Max Activating Token Index: 326

Text #1

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Max Act: 0.0112. Min Act: -0.0006

Data Index: 1594864 (Python Code)

Max Activating Token Index: 637

Text #2

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 1464720 (Python Code)

Max Activating Token Index: 493

Text #3

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Max Act: 0.0103. Min Act: -0.0006

Data Index: 1410930 (Python Code)

Max Activating Token Index: 1002

Text #4

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Max Act: 0.0099. Min Act: -0.0005

Data Index: 1362014 (Python Code)

Max Activating Token Index: 676

Text #5

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Max Act: 0.0094. Min Act: -0.0005

Data Index: 1655528 (Python Code)

Max Activating Token Index: 765

Text #6

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Data Index: 1385770 (Python Code)

Max Activating Token Index: 167

Text #7

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Data Index: 1630571 (Python Code)

Max Activating Token Index: 341

Text #8

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Data Index: 1367493 (Python Code)

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Text #9

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Data Index: 1586093 (Python Code)

Max Activating Token Index: 430

Text #10

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Data Index: 1529849 (Python Code)

Max Activating Token Index: 393

Text #11

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Data Index: 1598479 (Python Code)

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Text #12

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Data Index: 1571439 (Python Code)

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Text #13

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Data Index: 1379232 (Python Code)

Max Activating Token Index: 501

Text #14

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Max Act: 0.0089. Min Act: -0.0006

Data Index: 1430062 (Python Code)

Max Activating Token Index: 503

Text #15

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Data Index: 1407204 (Python Code)

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Text #16

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Data Index: 1408143 (Python Code)

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Text #17

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Data Index: 1405846 (Python Code)

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Text #18

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Data Index: 1516381 (Python Code)

Max Activating Token Index: 570

Text #19

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Max Act: 0.0088. Min Act: -0.0006

Data Index: 1530947 (Python Code)

Max Activating Token Index: 541