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

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

Neuron 2479 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: 0.0266. Min Act: -0.0002

Data Index: 1396717 (Python Code)

Max Activating Token Index: 899

Text #1

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Max Act: 0.0267. Min Act: -0.0002

Data Index: 1639565 (Python Code)

Max Activating Token Index: 485

Text #2

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Max Act: 0.0252. Min Act: -0.0002

Data Index: 884448 (C4 (Web Text))

Max Activating Token Index: 313

Text #3

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Max Act: 0.0261. Min Act: -0.0002

Data Index: 1406277 (Python Code)

Max Activating Token Index: 906

Text #4

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Max Act: 0.0261. Min Act: -0.0002

Data Index: 725603 (C4 (Web Text))

Max Activating Token Index: 1021

Text #5

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Max Act: 0.0254. Min Act: -0.0002

Data Index: 1344374 (C4 (Web Text))

Max Activating Token Index: 758

Text #6

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Data Index: 1646974 (Python Code)

Max Activating Token Index: 661

Text #7

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Data Index: 106197 (C4 (Web Text))

Max Activating Token Index: 174

Text #8

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Data Index: 1419590 (Python Code)

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Text #9

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Data Index: 1606366 (Python Code)

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Text #10

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Data Index: 1101144 (C4 (Web Text))

Max Activating Token Index: 480

Text #11

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Data Index: 1514126 (Python Code)

Max Activating Token Index: 425

Text #12

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Data Index: 907758 (C4 (Web Text))

Max Activating Token Index: 743

Text #13

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Data Index: 430596 (C4 (Web Text))

Max Activating Token Index: 872

Text #14

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Data Index: 953483 (C4 (Web Text))

Max Activating Token Index: 268

Text #15

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Data Index: 499209 (C4 (Web Text))

Max Activating Token Index: 483

Text #16

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Data Index: 566688 (C4 (Web Text))

Max Activating Token Index: 972

Text #17

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Data Index: 1647515 (Python Code)

Max Activating Token Index: 861

Text #18

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Data Index: 1356018 (C4 (Web Text))

Max Activating Token Index: 374

Text #19

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Max Act: 0.0228. Min Act: -0.0002

Data Index: 1446829 (Python Code)

Max Activating Token Index: 735