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

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

Neuron 3056 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0688. Min Act: -0.0001

Data Index: 1089876 (C4 (Web Text))

Max Activating Token Index: 856

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Text #1

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Data Index: 1097515 (C4 (Web Text))

Max Activating Token Index: 830

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Truncated

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Text #2

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Data Index: 102086 (C4 (Web Text))

Max Activating Token Index: 425

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Text #3

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Max Act: 0.0599. Min Act: -0.0001

Data Index: 1117689 (C4 (Web Text))

Max Activating Token Index: 827

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Truncated

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Text #4

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Max Act: 0.0625. Min Act: -0.0001

Data Index: 343998 (C4 (Web Text))

Max Activating Token Index: 186

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Truncated

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Text #5

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Max Act: 0.0623. Min Act: -0.0001

Data Index: 133943 (C4 (Web Text))

Max Activating Token Index: 485

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Text #6

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Data Index: 219744 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 928761 (C4 (Web Text))

Max Activating Token Index: 668

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Text #9

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Data Index: 706239 (C4 (Web Text))

Max Activating Token Index: 217

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Text #10

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Data Index: 1292144 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 390734 (C4 (Web Text))

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Text #16

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Data Index: 744255 (C4 (Web Text))

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Text #17

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Data Index: 1351602 (C4 (Web Text))

Max Activating Token Index: 815

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Text #18

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Max Act: 0.0478. Min Act: -0.0001

Data Index: 352662 (C4 (Web Text))

Max Activating Token Index: 556

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Text #19

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Data Index: 460611 (C4 (Web Text))

Max Activating Token Index: 119

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