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

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

Neuron 1211 in Layer 0

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



Text #0

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Max Act: 0.0247. Min Act: -0.0004

Data Index: 1524125 (Python Code)

Max Activating Token Index: 161

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Text #1

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Max Act: 0.0206. Min Act: -0.0004

Data Index: 1616474 (Python Code)

Max Activating Token Index: 836

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Text #2

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Max Act: 0.0196. Min Act: -0.0003

Data Index: 1560430 (Python Code)

Max Activating Token Index: 1022

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Text #3

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Max Act: 0.0195. Min Act: -0.0003

Data Index: 1606100 (Python Code)

Max Activating Token Index: 786

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Text #4

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Data Index: 1462313 (Python Code)

Max Activating Token Index: 70

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Text #5

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Data Index: 1564805 (Python Code)

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Text #6

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Data Index: 1405305 (Python Code)

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Text #7

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Data Index: 1097434 (C4 (Web Text))

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Text #8

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Data Index: 1426196 (Python Code)

Max Activating Token Index: 750

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Text #9

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Data Index: 1466021 (Python Code)

Max Activating Token Index: 601

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Text #10

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Data Index: 1421090 (Python Code)

Max Activating Token Index: 506

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Text #11

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Data Index: 1636330 (Python Code)

Max Activating Token Index: 707

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Text #12

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Text #13

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Data Index: 957265 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #14

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Data Index: 1374606 (Python Code)

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Text #15

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Data Index: 1364530 (Python Code)

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Text #16

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Data Index: 1496651 (Python Code)

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Text #17

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Data Index: 1400643 (Python Code)

Max Activating Token Index: 315

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Text #18

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Data Index: 1572076 (Python Code)

Max Activating Token Index: 770

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Text #19

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Max Act: 0.0173. Min Act: -0.0002

Data Index: 1419682 (Python Code)

Max Activating Token Index: 1013

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