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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 605 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0771. Min Act: -0.0002

Data Index: 1152073 (C4 (Web Text))

Max Activating Token Index: 95

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Text #1

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Max Act: 0.0586. Min Act: -0.0002

Data Index: 874664 (C4 (Web Text))

Max Activating Token Index: 713

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Text #2

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Max Act: 0.0677. Min Act: -0.0002

Data Index: 1490137 (Python Code)

Max Activating Token Index: 536

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Text #3

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Max Act: 0.0670. Min Act: -0.0002

Data Index: 1390505 (Python Code)

Max Activating Token Index: 478

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Text #4

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Max Act: 0.0635. Min Act: -0.0002

Data Index: 861153 (C4 (Web Text))

Max Activating Token Index: 999

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Truncated

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Text #5

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Max Act: 0.0573. Min Act: -0.0002

Data Index: 1202390 (C4 (Web Text))

Max Activating Token Index: 410

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Text #6

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Data Index: 316491 (C4 (Web Text))

Max Activating Token Index: 940

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Text #7

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Data Index: 1572362 (Python Code)

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Text #8

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Data Index: 625936 (C4 (Web Text))

Max Activating Token Index: 224

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Text #9

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Data Index: 94023 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #10

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Data Index: 874392 (C4 (Web Text))

Max Activating Token Index: 957

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Text #11

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Data Index: 311583 (C4 (Web Text))

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Text #12

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Data Index: 626015 (C4 (Web Text))

Max Activating Token Index: 147

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Text #13

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Data Index: 1131332 (C4 (Web Text))

Max Activating Token Index: 960

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Text #14

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Data Index: 839817 (C4 (Web Text))

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Text #15

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Data Index: 1317429 (C4 (Web Text))

Max Activating Token Index: 297

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Text #16

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Data Index: 1015004 (C4 (Web Text))

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Text #17

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Max Act: 0.0508. Min Act: -0.0002

Data Index: 778028 (C4 (Web Text))

Max Activating Token Index: 455

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Text #18

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Max Act: 0.0507. Min Act: -0.0002

Data Index: 411182 (C4 (Web Text))

Max Activating Token Index: 207

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Text #19

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Data Index: 250492 (C4 (Web Text))

Max Activating Token Index: 191

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