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

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

Neuron 2272 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: 0.0708. Min Act: -0.0002

Data Index: 782325 (C4 (Web Text))

Max Activating Token Index: 714

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Text #1

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Max Act: 0.0726. Min Act: -0.0002

Data Index: 427844 (C4 (Web Text))

Max Activating Token Index: 279

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Text #2

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Max Act: 0.0736. Min Act: -0.0002

Data Index: 1186491 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #3

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Max Act: 0.0694. Min Act: -0.0002

Data Index: 788299 (C4 (Web Text))

Max Activating Token Index: 258

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Truncated

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Text #4

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Data Index: 269897 (C4 (Web Text))

Max Activating Token Index: 729

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Text #5

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Max Act: 0.0710. Min Act: -0.0002

Data Index: 1343109 (C4 (Web Text))

Max Activating Token Index: 861

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Text #6

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Data Index: 741051 (C4 (Web Text))

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Text #7

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Data Index: 265555 (C4 (Web Text))

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Text #8

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Data Index: 550692 (C4 (Web Text))

Max Activating Token Index: 147

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Text #9

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Data Index: 705575 (C4 (Web Text))

Max Activating Token Index: 726

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Text #10

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Data Index: 25708 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 260083 (C4 (Web Text))

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Text #13

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Data Index: 1638277 (Python Code)

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Text #14

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Text #15

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Text #16

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Data Index: 1391468 (Python Code)

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Text #17

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Data Index: 1343029 (C4 (Web Text))

Max Activating Token Index: 376

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Text #18

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Data Index: 421740 (C4 (Web Text))

Max Activating Token Index: 951

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Text #19

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Data Index: 586294 (C4 (Web Text))

Max Activating Token Index: 441

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