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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

Max Range: 5.1107. Min Range: -5.1107

Max Act: 5.1107. Min Act: -0.0000

Data Index: 333480 (C4 (Web Text))

Max Activating Token Index: 236

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Text #1

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Max Act: 4.1047. Min Act: -0.0000

Data Index: 637726 (C4 (Web Text))

Max Activating Token Index: 403

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Text #2

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Max Act: 4.0398. Min Act: -0.0000

Data Index: 140059 (C4 (Web Text))

Max Activating Token Index: 906

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Text #3

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Max Act: 3.5330. Min Act: -0.0000

Data Index: 929430 (C4 (Web Text))

Max Activating Token Index: 265

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Text #4

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Max Act: 2.8043. Min Act: -0.0001

Data Index: 679124 (C4 (Web Text))

Max Activating Token Index: 1021

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Text #5

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Data Index: 521925 (C4 (Web Text))

Max Activating Token Index: 122

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Text #6

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Data Index: 1217546 (C4 (Web Text))

Max Activating Token Index: 199

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Text #7

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Data Index: 480165 (C4 (Web Text))

Max Activating Token Index: 721

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Text #8

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Data Index: 383462 (C4 (Web Text))

Max Activating Token Index: 409

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Text #9

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Data Index: 1046822 (C4 (Web Text))

Max Activating Token Index: 444

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Text #10

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Data Index: 978515 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1319185 (C4 (Web Text))

Max Activating Token Index: 228

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Text #13

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Max Activating Token Index: 29

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Text #14

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Data Index: 27831 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1179308 (C4 (Web Text))

Max Activating Token Index: 683

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Text #18

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Data Index: 1243491 (C4 (Web Text))

Max Activating Token Index: 308

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Text #19

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Max Activating Token Index: 218

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