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

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

Neuron 2971 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: 0.6386. Min Act: -0.0001

Data Index: 1236222 (C4 (Web Text))

Max Activating Token Index: 74

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Text #1

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Max Act: 0.5760. Min Act: -0.0001

Data Index: 728178 (C4 (Web Text))

Max Activating Token Index: 764

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Truncated

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Text #2

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Max Act: 0.5477. Min Act: -0.0001

Data Index: 1456856 (Python Code)

Max Activating Token Index: 197

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Text #3

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Max Act: 0.5174. Min Act: -0.0001

Data Index: 609621 (C4 (Web Text))

Max Activating Token Index: 537

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Text #4

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Data Index: 669374 (C4 (Web Text))

Max Activating Token Index: 191

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Text #5

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Data Index: 1213176 (C4 (Web Text))

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Text #6

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Data Index: 1063407 (C4 (Web Text))

Max Activating Token Index: 86

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Text #7

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Data Index: 329704 (C4 (Web Text))

Max Activating Token Index: 437

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Text #8

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Data Index: 381343 (C4 (Web Text))

Max Activating Token Index: 174

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Text #9

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Data Index: 138019 (C4 (Web Text))

Max Activating Token Index: 99

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Text #10

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Data Index: 98285 (C4 (Web Text))

Max Activating Token Index: 88

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Text #11

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Data Index: 1560241 (Python Code)

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Text #12

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Data Index: 1178924 (C4 (Web Text))

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Text #13

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Data Index: 19866 (C4 (Web Text))

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Text #14

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Data Index: 434063 (C4 (Web Text))

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Text #15

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Data Index: 1042758 (C4 (Web Text))

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Text #16

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Data Index: 378210 (C4 (Web Text))

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Text #17

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Data Index: 1547170 (Python Code)

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Text #18

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Data Index: 1217065 (C4 (Web Text))

Max Activating Token Index: 596

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Text #19

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Data Index: 547724 (C4 (Web Text))

Max Activating Token Index: 695

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