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

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

Neuron 3448 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: 0.0614. Min Act: -0.0002

Data Index: 1501406 (Python Code)

Max Activating Token Index: 82

Text #1

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Data Index: 1555123 (Python Code)

Max Activating Token Index: 343

Text #2

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Data Index: 1477800 (Python Code)

Max Activating Token Index: 382

Text #3

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Max Act: 0.0483. Min Act: -0.0002

Data Index: 1384737 (Python Code)

Max Activating Token Index: 396

Text #4

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Max Act: 0.0483. Min Act: -0.0002

Data Index: 1457418 (Python Code)

Max Activating Token Index: 436

Text #5

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Data Index: 126644 (C4 (Web Text))

Max Activating Token Index: 562

Text #6

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Text #7

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Max Activating Token Index: 574

Text #8

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Text #9

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Text #10

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Data Index: 1452701 (Python Code)

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Text #11

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Max Activating Token Index: 777

Text #12

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Max Activating Token Index: 888

Text #13

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Max Activating Token Index: 735

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 678

Text #19

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Data Index: 179107 (C4 (Web Text))

Max Activating Token Index: 366