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

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

Neuron 3069 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: 0.0339. Min Act: -0.0003

Data Index: 668950 (C4 (Web Text))

Max Activating Token Index: 558

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Text #1

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Data Index: 571372 (C4 (Web Text))

Max Activating Token Index: 84

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Truncated

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Text #2

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Max Act: 0.0334. Min Act: -0.0003

Data Index: 721452 (C4 (Web Text))

Max Activating Token Index: 830

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Text #3

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Data Index: 789131 (C4 (Web Text))

Max Activating Token Index: 310

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Truncated

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Text #4

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Data Index: 403390 (C4 (Web Text))

Max Activating Token Index: 811

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Text #5

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Data Index: 280337 (C4 (Web Text))

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Text #6

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Data Index: 860574 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 1031759 (C4 (Web Text))

Max Activating Token Index: 932

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Text #9

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Data Index: 1350397 (C4 (Web Text))

Max Activating Token Index: 846

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Text #10

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Truncated

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Text #11

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Text #12

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Text #13

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Data Index: 640490 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 172083 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 352505 (C4 (Web Text))

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Text #18

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Data Index: 1328673 (C4 (Web Text))

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Text #19

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Data Index: 354286 (C4 (Web Text))

Max Activating Token Index: 947

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