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

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

Neuron 1313 in Layer 5

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: 1.1003. Min Act: -0.0001

Data Index: 631872 (C4 (Web Text))

Max Activating Token Index: 763

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Text #1

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Data Index: 746711 (C4 (Web Text))

Max Activating Token Index: 972

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Text #2

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Data Index: 660411 (C4 (Web Text))

Max Activating Token Index: 584

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Text #3

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Data Index: 180798 (C4 (Web Text))

Max Activating Token Index: 994

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Text #4

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Data Index: 61098 (C4 (Web Text))

Max Activating Token Index: 578

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Text #5

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Data Index: 251127 (C4 (Web Text))

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Text #6

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Data Index: 1079009 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 840164 (C4 (Web Text))

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Text #9

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Data Index: 1519610 (Python Code)

Max Activating Token Index: 1018

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Text #10

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Data Index: 1570426 (Python Code)

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Text #11

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Data Index: 1022538 (C4 (Web Text))

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Text #12

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Data Index: 271294 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 34750 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 917291 (C4 (Web Text))

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Text #18

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Data Index: 486021 (C4 (Web Text))

Max Activating Token Index: 387

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Text #19

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Data Index: 36617 (C4 (Web Text))

Max Activating Token Index: 808

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