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

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

Neuron 3035 in Layer 2

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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Max Act: 0.0781. Min Act: -0.0003

Data Index: 303186 (C4 (Web Text))

Max Activating Token Index: 69

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Text #1

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Data Index: 16329 (C4 (Web Text))

Max Activating Token Index: 210

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Text #2

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Max Act: 0.0750. Min Act: -0.0003

Data Index: 805744 (C4 (Web Text))

Max Activating Token Index: 627

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Text #3

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Data Index: 610745 (C4 (Web Text))

Max Activating Token Index: 684

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Text #4

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Data Index: 1242768 (C4 (Web Text))

Max Activating Token Index: 433

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Truncated

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Text #5

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Data Index: 129231 (C4 (Web Text))

Max Activating Token Index: 367

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Text #6

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Data Index: 1072339 (C4 (Web Text))

Max Activating Token Index: 933

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Text #7

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Data Index: 1100815 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 186776 (C4 (Web Text))

Max Activating Token Index: 44

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Text #9

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Data Index: 233459 (C4 (Web Text))

Max Activating Token Index: 899

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Text #10

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Max Activating Token Index: 75

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Text #11

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Text #12

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Text #13

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Data Index: 797442 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 98222 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 520989 (C4 (Web Text))

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Text #18

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Data Index: 324664 (C4 (Web Text))

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Text #19

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Data Index: 956083 (C4 (Web Text))

Max Activating Token Index: 548

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