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

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

Neuron 1229 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0457. Min Act: -0.0003

Data Index: 1264051 (C4 (Web Text))

Max Activating Token Index: 332

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Text #1

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Max Act: 0.0385. Min Act: -0.0003

Data Index: 1415346 (Python Code)

Max Activating Token Index: 15

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Text #2

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Max Act: 0.0378. Min Act: -0.0002

Data Index: 1520650 (Python Code)

Max Activating Token Index: 620

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Text #3

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 1444946 (Python Code)

Max Activating Token Index: 665

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Text #4

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Data Index: 1408689 (Python Code)

Max Activating Token Index: 886

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Text #5

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Data Index: 1613352 (Python Code)

Max Activating Token Index: 563

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Text #6

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Data Index: 722628 (C4 (Web Text))

Max Activating Token Index: 566

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Text #7

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Data Index: 1655607 (Python Code)

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Text #8

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Data Index: 1486552 (Python Code)

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Text #9

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Data Index: 1588308 (Python Code)

Max Activating Token Index: 220

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Text #10

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Data Index: 1567910 (Python Code)

Max Activating Token Index: 222

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Text #11

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Data Index: 1650122 (Python Code)

Max Activating Token Index: 596

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Text #12

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Data Index: 1381036 (Python Code)

Max Activating Token Index: 480

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Text #13

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Data Index: 1534156 (Python Code)

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Text #14

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Data Index: 1525701 (Python Code)

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Text #15

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Data Index: 1439230 (Python Code)

Max Activating Token Index: 260

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Text #16

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Data Index: 1656420 (Python Code)

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Text #17

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Data Index: 1491373 (Python Code)

Max Activating Token Index: 492

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Text #18

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Data Index: 1593786 (Python Code)

Max Activating Token Index: 563

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Text #19

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Data Index: 1384359 (Python Code)

Max Activating Token Index: 167

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