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

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

Neuron 1860 in Layer 3

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: 0.0382. Min Act: -0.0001

Data Index: 1226027 (C4 (Web Text))

Max Activating Token Index: 216

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Text #1

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Max Act: 0.0371. Min Act: -0.0001

Data Index: 558982 (C4 (Web Text))

Max Activating Token Index: 534

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Text #2

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Max Act: 0.0329. Min Act: -0.0001

Data Index: 1241308 (C4 (Web Text))

Max Activating Token Index: 862

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Text #3

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Data Index: 601965 (C4 (Web Text))

Max Activating Token Index: 674

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Text #4

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Data Index: 1151949 (C4 (Web Text))

Max Activating Token Index: 911

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Text #5

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Data Index: 639881 (C4 (Web Text))

Max Activating Token Index: 557

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Text #6

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Data Index: 857931 (C4 (Web Text))

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Text #7

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Data Index: 154522 (C4 (Web Text))

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Text #8

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Data Index: 563206 (C4 (Web Text))

Max Activating Token Index: 592

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Text #9

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Data Index: 1472863 (Python Code)

Max Activating Token Index: 702

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Text #10

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Text #11

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Text #12

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Data Index: 454427 (C4 (Web Text))

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Text #13

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Data Index: 9289 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1648152 (Python Code)

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Text #16

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Text #17

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Data Index: 841428 (C4 (Web Text))

Max Activating Token Index: 312

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Text #18

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Data Index: 638695 (C4 (Web Text))

Max Activating Token Index: 831

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Text #19

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Data Index: 754322 (C4 (Web Text))

Max Activating Token Index: 428

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