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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1774 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 1.0116. Min Act: -0.0001

Data Index: 1056803 (C4 (Web Text))

Max Activating Token Index: 1020

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Text #1

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Data Index: 658921 (C4 (Web Text))

Max Activating Token Index: 938

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Text #2

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Max Act: 1.0391. Min Act: -0.0001

Data Index: 1204376 (C4 (Web Text))

Max Activating Token Index: 19

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Text #3

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Max Act: 1.0070. Min Act: -0.0001

Data Index: 73516 (C4 (Web Text))

Max Activating Token Index: 139

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Text #4

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Max Act: 1.0035. Min Act: -0.0001

Data Index: 894424 (C4 (Web Text))

Max Activating Token Index: 57

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Text #5

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Max Act: 0.9305. Min Act: -0.0001

Data Index: 1639727 (Python Code)

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Text #6

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Data Index: 156089 (C4 (Web Text))

Max Activating Token Index: 188

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Text #7

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Data Index: 1121072 (C4 (Web Text))

Max Activating Token Index: 876

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Text #8

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Data Index: 1175246 (C4 (Web Text))

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Text #9

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Data Index: 327155 (C4 (Web Text))

Max Activating Token Index: 400

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Text #10

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Data Index: 793724 (C4 (Web Text))

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Text #11

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Data Index: 1569289 (Python Code)

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Text #12

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Data Index: 566769 (C4 (Web Text))

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Text #13

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Data Index: 577564 (C4 (Web Text))

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Text #14

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Data Index: 737621 (C4 (Web Text))

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Text #15

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Data Index: 520472 (C4 (Web Text))

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Text #16

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Data Index: 869438 (C4 (Web Text))

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Text #17

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Data Index: 792722 (C4 (Web Text))

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Text #18

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Data Index: 81107 (C4 (Web Text))

Max Activating Token Index: 917

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Text #19

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Data Index: 484064 (C4 (Web Text))

Max Activating Token Index: 7

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