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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 30 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0618. Min Act: -0.0002

Data Index: 910617 (C4 (Web Text))

Max Activating Token Index: 736

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Text #1

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Max Act: 0.0544. Min Act: -0.0002

Data Index: 1273651 (C4 (Web Text))

Max Activating Token Index: 398

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Text #2

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Max Act: 0.0541. Min Act: -0.0002

Data Index: 527553 (C4 (Web Text))

Max Activating Token Index: 719

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Text #3

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Max Act: 0.0545. Min Act: -0.0002

Data Index: 1599066 (Python Code)

Max Activating Token Index: 214

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Text #4

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Data Index: 1501106 (Python Code)

Max Activating Token Index: 740

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Text #5

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Max Act: 0.0526. Min Act: -0.0002

Data Index: 131760 (C4 (Web Text))

Max Activating Token Index: 148

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Text #6

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Data Index: 1596070 (Python Code)

Max Activating Token Index: 572

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Text #7

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Data Index: 878318 (C4 (Web Text))

Max Activating Token Index: 242

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Text #8

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Data Index: 1404914 (Python Code)

Max Activating Token Index: 448

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Text #9

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Data Index: 1645141 (Python Code)

Max Activating Token Index: 234

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Text #10

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Data Index: 848241 (C4 (Web Text))

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Text #11

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Data Index: 538497 (C4 (Web Text))

Max Activating Token Index: 94

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Text #12

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Data Index: 1544767 (Python Code)

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Text #13

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Text #14

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Data Index: 1302621 (C4 (Web Text))

Max Activating Token Index: 730

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Text #15

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Data Index: 1614844 (Python Code)

Max Activating Token Index: 959

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Text #16

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Data Index: 1071927 (C4 (Web Text))

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Text #17

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Data Index: 1345876 (C4 (Web Text))

Max Activating Token Index: 897

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Text #18

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Data Index: 1636402 (Python Code)

Max Activating Token Index: 497

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Text #19

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Data Index: 137722 (C4 (Web Text))

Max Activating Token Index: 728

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