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

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

Neuron 1721 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0269. Min Act: -0.0006

Data Index: 1483906 (Python Code)

Max Activating Token Index: 623

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Text #1

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Max Act: 0.0246. Min Act: -0.0006

Data Index: 885231 (C4 (Web Text))

Max Activating Token Index: 474

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Text #2

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Max Act: 0.0242. Min Act: -0.0006

Data Index: 1640705 (Python Code)

Max Activating Token Index: 996

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Text #3

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Max Act: 0.0219. Min Act: -0.0006

Data Index: 170995 (C4 (Web Text))

Max Activating Token Index: 499

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Text #4

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Max Act: 0.0228. Min Act: -0.0006

Data Index: 1154305 (C4 (Web Text))

Max Activating Token Index: 588

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Text #5

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Max Act: 0.0214. Min Act: -0.0006

Data Index: 1331176 (C4 (Web Text))

Max Activating Token Index: 553

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Text #6

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Data Index: 1239505 (C4 (Web Text))

Max Activating Token Index: 270

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Text #7

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Data Index: 1369912 (Python Code)

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Text #8

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Data Index: 527509 (C4 (Web Text))

Max Activating Token Index: 211

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Text #9

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Data Index: 735266 (C4 (Web Text))

Max Activating Token Index: 202

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Text #10

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Data Index: 4822 (C4 (Web Text))

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Text #11

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Data Index: 778478 (C4 (Web Text))

Max Activating Token Index: 972

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Text #12

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Data Index: 1205072 (C4 (Web Text))

Max Activating Token Index: 1011

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Text #13

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Data Index: 1240107 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1156991 (C4 (Web Text))

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Text #15

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Data Index: 869018 (C4 (Web Text))

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Text #16

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Data Index: 1247667 (C4 (Web Text))

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Text #17

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Max Act: 0.0204. Min Act: -0.0005

Data Index: 586758 (C4 (Web Text))

Max Activating Token Index: 673

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Text #18

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Max Act: 0.0207. Min Act: -0.0006

Data Index: 243718 (C4 (Web Text))

Max Activating Token Index: 412

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Text #19

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Data Index: 406069 (C4 (Web Text))

Max Activating Token Index: 604

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