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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 32 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0277. Min Act: -0.0002

Data Index: 1106716 (C4 (Web Text))

Max Activating Token Index: 402

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Text #1

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Max Act: 0.0220. Min Act: -0.0002

Data Index: 91674 (C4 (Web Text))

Max Activating Token Index: 888

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Truncated

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Text #2

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Max Act: 0.0220. Min Act: -0.0002

Data Index: 521388 (C4 (Web Text))

Max Activating Token Index: 461

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Text #3

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 737915 (C4 (Web Text))

Max Activating Token Index: 925

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Truncated

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Text #4

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Data Index: 447086 (C4 (Web Text))

Max Activating Token Index: 760

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Text #5

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Data Index: 368431 (C4 (Web Text))

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Text #6

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Data Index: 949250 (C4 (Web Text))

Max Activating Token Index: 481

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 503037 (C4 (Web Text))

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Text #9

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Data Index: 933074 (C4 (Web Text))

Max Activating Token Index: 686

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Text #10

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 735259 (C4 (Web Text))

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Text #13

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Truncated

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 416642 (C4 (Web Text))

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Text #18

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Data Index: 52282 (C4 (Web Text))

Max Activating Token Index: 820

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Text #19

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Data Index: 1094850 (C4 (Web Text))

Max Activating Token Index: 107

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