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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1898 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.9885. Min Act: -0.0001

Data Index: 1322664 (C4 (Web Text))

Max Activating Token Index: 436

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Text #1

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Max Act: 0.9026. Min Act: -0.0001

Data Index: 871367 (C4 (Web Text))

Max Activating Token Index: 750

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Text #2

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Max Act: 0.9126. Min Act: -0.0001

Data Index: 316465 (C4 (Web Text))

Max Activating Token Index: 730

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Text #3

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Max Act: 0.7310. Min Act: -0.0001

Data Index: 272118 (C4 (Web Text))

Max Activating Token Index: 763

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Text #4

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Data Index: 689086 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #5

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Data Index: 216974 (C4 (Web Text))

Max Activating Token Index: 753

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Text #6

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Data Index: 228544 (C4 (Web Text))

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Text #7

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Data Index: 721815 (C4 (Web Text))

Max Activating Token Index: 888

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Text #8

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Data Index: 1204065 (C4 (Web Text))

Max Activating Token Index: 286

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Text #9

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Data Index: 123629 (C4 (Web Text))

Max Activating Token Index: 536

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Text #10

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Data Index: 1058928 (C4 (Web Text))

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Text #11

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Text #12

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Max Activating Token Index: 239

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Text #13

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Max Activating Token Index: 757

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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: 1561084 (Python Code)

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Text #18

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Data Index: 300459 (C4 (Web Text))

Max Activating Token Index: 764

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Text #19

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Data Index: 414789 (C4 (Web Text))

Max Activating Token Index: 875

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