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

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

Neuron 4179 in Layer 3

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: 0.1136. Min Act: -0.0001

Data Index: 1239117 (C4 (Web Text))

Max Activating Token Index: 996

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Text #1

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Max Act: 0.1067. Min Act: -0.0001

Data Index: 710644 (C4 (Web Text))

Max Activating Token Index: 421

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Truncated

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Text #2

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Max Act: 0.1409. Min Act: -0.0001

Data Index: 640757 (C4 (Web Text))

Max Activating Token Index: 778

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Text #3

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Max Act: 0.0878. Min Act: -0.0001

Data Index: 650747 (C4 (Web Text))

Max Activating Token Index: 198

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Truncated

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Text #4

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Max Act: 0.0890. Min Act: -0.0001

Data Index: 968256 (C4 (Web Text))

Max Activating Token Index: 559

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Truncated

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Text #5

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Max Act: 0.0949. Min Act: -0.0001

Data Index: 1250875 (C4 (Web Text))

Max Activating Token Index: 822

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Truncated

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Text #6

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Data Index: 717615 (C4 (Web Text))

Max Activating Token Index: 1004

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Truncated

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Text #7

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Data Index: 101184 (C4 (Web Text))

Max Activating Token Index: 492

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Truncated

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Text #8

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Data Index: 1237163 (C4 (Web Text))

Max Activating Token Index: 864

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Text #9

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Data Index: 634031 (C4 (Web Text))

Max Activating Token Index: 486

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Truncated

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Text #10

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Data Index: 329277 (C4 (Web Text))

Max Activating Token Index: 948

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Truncated

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Text #11

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Data Index: 1358528 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 84746 (C4 (Web Text))

Max Activating Token Index: 893

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Text #13

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Max Activating Token Index: 257

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Truncated

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Text #14

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Data Index: 1605166 (Python Code)

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Text #15

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Data Index: 872859 (C4 (Web Text))

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Text #16

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Data Index: 1539471 (Python Code)

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Text #17

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Data Index: 457281 (C4 (Web Text))

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Text #18

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Data Index: 558002 (C4 (Web Text))

Max Activating Token Index: 623

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Truncated

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Text #19

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Data Index: 1526267 (Python Code)

Max Activating Token Index: 728

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