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

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

Neuron 469 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0428. Min Act: -0.0002

Data Index: 1547545 (Python Code)

Max Activating Token Index: 430

Text #1

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Max Act: 0.0405. Min Act: -0.0002

Data Index: 1483463 (Python Code)

Max Activating Token Index: 41

Text #2

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Data Index: 186369 (C4 (Web Text))

Max Activating Token Index: 902

Text #3

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Data Index: 1424463 (Python Code)

Max Activating Token Index: 996

Text #4

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 609232 (C4 (Web Text))

Max Activating Token Index: 135

Text #5

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Data Index: 1489038 (Python Code)

Max Activating Token Index: 175

Text #6

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Data Index: 673708 (C4 (Web Text))

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Text #7

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Data Index: 286376 (C4 (Web Text))

Max Activating Token Index: 460

Text #8

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Data Index: 1626420 (Python Code)

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Data Index: 1374415 (Python Code)

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Text #10

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Text #12

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Max Activating Token Index: 977

Text #13

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Data Index: 1391872 (Python Code)

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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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Text #18

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Text #19

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Data Index: 1383817 (Python Code)

Max Activating Token Index: 664