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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 57 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0690. Min Act: -0.0003

Data Index: 209413 (C4 (Web Text))

Max Activating Token Index: 175

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Text #1

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Max Act: 0.0670. Min Act: -0.0003

Data Index: 711555 (C4 (Web Text))

Max Activating Token Index: 658

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Text #2

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Max Act: 0.0594. Min Act: -0.0003

Data Index: 1073559 (C4 (Web Text))

Max Activating Token Index: 190

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Text #3

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Max Act: 0.0577. Min Act: -0.0003

Data Index: 385860 (C4 (Web Text))

Max Activating Token Index: 745

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Text #4

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Data Index: 423662 (C4 (Web Text))

Max Activating Token Index: 460

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Text #5

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Max Act: 0.0594. Min Act: -0.0003

Data Index: 55084 (C4 (Web Text))

Max Activating Token Index: 949

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Text #6

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Data Index: 379019 (C4 (Web Text))

Max Activating Token Index: 861

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Text #7

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Data Index: 634115 (C4 (Web Text))

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Text #8

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Data Index: 217076 (C4 (Web Text))

Max Activating Token Index: 53

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Text #9

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Data Index: 859162 (C4 (Web Text))

Max Activating Token Index: 19

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Text #10

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Data Index: 569009 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 543593 (C4 (Web Text))

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Text #13

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Data Index: 576780 (C4 (Web Text))

Max Activating Token Index: 909

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Text #14

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Data Index: 554703 (C4 (Web Text))

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Text #15

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Data Index: 419802 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1054068 (C4 (Web Text))

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Text #18

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Data Index: 941790 (C4 (Web Text))

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Text #19

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Data Index: 700667 (C4 (Web Text))

Max Activating Token Index: 971

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