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

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

Neuron 2910 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

Max Range: 2.6007. Min Range: -2.6007

Max Act: 2.2424. Min Act: -0.0001

Data Index: 396867 (C4 (Web Text))

Max Activating Token Index: 686

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Text #1

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Max Act: 2.4843. Min Act: -0.0000

Data Index: 752208 (C4 (Web Text))

Max Activating Token Index: 242

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Text #2

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Max Act: 2.6007. Min Act: -0.0001

Data Index: 1388910 (Python Code)

Max Activating Token Index: 683

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Text #3

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Max Act: 2.2775. Min Act: -0.0001

Data Index: 1446149 (Python Code)

Max Activating Token Index: 404

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Text #4

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Max Act: 2.4321. Min Act: -0.0001

Data Index: 1461758 (Python Code)

Max Activating Token Index: 497

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Text #5

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Data Index: 1442341 (Python Code)

Max Activating Token Index: 276

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Text #6

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Data Index: 1590214 (Python Code)

Max Activating Token Index: 216

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Text #7

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Data Index: 1610278 (Python Code)

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Text #8

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Max Act: 2.2613. Min Act: -0.0001

Data Index: 704977 (C4 (Web Text))

Max Activating Token Index: 1019

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Text #9

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Data Index: 1442824 (Python Code)

Max Activating Token Index: 604

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Text #10

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Data Index: 797417 (C4 (Web Text))

Max Activating Token Index: 628

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Text #11

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Data Index: 1417939 (Python Code)

Max Activating Token Index: 318

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Text #12

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Data Index: 1382879 (Python Code)

Max Activating Token Index: 745

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Text #13

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Text #14

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Data Index: 1571626 (Python Code)

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Text #15

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Data Index: 459880 (C4 (Web Text))

Max Activating Token Index: 75

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Text #16

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Data Index: 1417326 (Python Code)

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Text #17

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Data Index: 1441092 (Python Code)

Max Activating Token Index: 794

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Text #18

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Data Index: 1480411 (Python Code)

Max Activating Token Index: 256

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Text #19

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Max Act: 1.9443. Min Act: -0.0001

Data Index: 1579576 (Python Code)

Max Activating Token Index: 477

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