Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1059 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Data Index: 29650 (C4 (Web Text))

Max Activating Token Index: 900

Text #1

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Max Activating Token Index: 1006

Text #2

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Max Act: 0.0240. Min Act: -0.0004

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Max Activating Token Index: 553

Text #3

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Data Index: 972478 (C4 (Web Text))

Max Activating Token Index: 782

Text #4

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Data Index: 1133322 (C4 (Web Text))

Max Activating Token Index: 645

Text #5

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Max Activating Token Index: 471

Text #6

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Max Activating Token Index: 945

Text #7

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Max Activating Token Index: 505

Text #8

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Text #9

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Max Activating Token Index: 831

Text #10

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Max Activating Token Index: 769

Text #11

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Max Activating Token Index: 208

Text #12

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Max Activating Token Index: 210

Text #13

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Max Activating Token Index: 688

Text #14

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Max Activating Token Index: 845

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 73

Text #18

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Max Activating Token Index: 188

Text #19

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Data Index: 1142142 (C4 (Web Text))

Max Activating Token Index: 780