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

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

Neuron 3032 in Layer 3

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: 0.6075. Min Act: -0.0001

Data Index: 337797 (C4 (Web Text))

Max Activating Token Index: 645

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Text #1

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Max Act: 0.5017. Min Act: -0.0001

Data Index: 1009594 (C4 (Web Text))

Max Activating Token Index: 416

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Text #2

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Max Act: 0.5012. Min Act: -0.0001

Data Index: 9781 (C4 (Web Text))

Max Activating Token Index: 794

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Text #3

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Data Index: 289636 (C4 (Web Text))

Max Activating Token Index: 977

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Truncated

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Text #4

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Data Index: 898557 (C4 (Web Text))

Max Activating Token Index: 720

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Text #5

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Data Index: 289825 (C4 (Web Text))

Max Activating Token Index: 646

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Text #6

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Data Index: 1060320 (C4 (Web Text))

Max Activating Token Index: 516

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Truncated

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Text #7

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Data Index: 4036 (C4 (Web Text))

Max Activating Token Index: 886

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Truncated

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Text #8

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Data Index: 658543 (C4 (Web Text))

Max Activating Token Index: 638

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Text #9

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Data Index: 1348136 (C4 (Web Text))

Max Activating Token Index: 113

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Text #10

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 827

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Truncated

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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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Data Index: 1095758 (C4 (Web Text))

Max Activating Token Index: 719

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Text #18

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Data Index: 987925 (C4 (Web Text))

Max Activating Token Index: 673

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Text #19

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Data Index: 605276 (C4 (Web Text))

Max Activating Token Index: 944

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