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

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

Neuron 192 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 0.1500. Min Range: -0.1500

Max Act: 0.1500. Min Act: -0.0001

Data Index: 207081 (C4 (Web Text))

Max Activating Token Index: 732

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Text #1

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Max Act: 0.1421. Min Act: -0.0001

Data Index: 935133 (C4 (Web Text))

Max Activating Token Index: 671

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Text #2

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Max Act: 0.1416. Min Act: -0.0001

Data Index: 600689 (C4 (Web Text))

Max Activating Token Index: 647

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Text #3

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Max Act: 0.1414. Min Act: -0.0001

Data Index: 1252918 (C4 (Web Text))

Max Activating Token Index: 348

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Text #4

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Max Act: 0.1185. Min Act: -0.0001

Data Index: 225174 (C4 (Web Text))

Max Activating Token Index: 955

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Text #5

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Max Act: 0.1133. Min Act: -0.0001

Data Index: 95377 (C4 (Web Text))

Max Activating Token Index: 318

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Text #6

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Data Index: 575579 (C4 (Web Text))

Max Activating Token Index: 122

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Text #7

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Data Index: 321664 (C4 (Web Text))

Max Activating Token Index: 808

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Text #8

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Data Index: 1156666 (C4 (Web Text))

Max Activating Token Index: 80

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Text #9

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Max Act: 0.1101. Min Act: -0.0001

Data Index: 163717 (C4 (Web Text))

Max Activating Token Index: 918

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Text #10

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Data Index: 1554248 (Python Code)

Max Activating Token Index: 579

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Text #11

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Data Index: 362389 (C4 (Web Text))

Max Activating Token Index: 154

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Text #12

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Data Index: 371099 (C4 (Web Text))

Max Activating Token Index: 895

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Text #13

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Data Index: 1624927 (Python Code)

Max Activating Token Index: 245

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Text #14

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Data Index: 1578627 (Python Code)

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Text #15

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Data Index: 766590 (C4 (Web Text))

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Text #16

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Data Index: 653434 (C4 (Web Text))

Max Activating Token Index: 586

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Text #17

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Data Index: 34531 (C4 (Web Text))

Max Activating Token Index: 809

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Text #18

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Data Index: 859246 (C4 (Web Text))

Max Activating Token Index: 496

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Text #19

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Data Index: 123033 (C4 (Web Text))

Max Activating Token Index: 508

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