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

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

Neuron 3040 in Layer 5

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.1105. Min Act: -0.0000

Data Index: 1649652 (Python Code)

Max Activating Token Index: 571

Text #1

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Max Act: 0.0808. Min Act: -0.0000

Data Index: 1473243 (Python Code)

Max Activating Token Index: 559

Text #2

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Data Index: 1624408 (Python Code)

Max Activating Token Index: 355

Text #3

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Max Act: 0.0661. Min Act: -0.0000

Data Index: 1628268 (Python Code)

Max Activating Token Index: 148

Text #4

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Max Act: 0.0630. Min Act: -0.0000

Data Index: 29888 (C4 (Web Text))

Max Activating Token Index: 315

Text #5

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Data Index: 1412831 (Python Code)

Max Activating Token Index: 557

Text #6

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Data Index: 406700 (C4 (Web Text))

Max Activating Token Index: 215

Text #7

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Data Index: 1314791 (C4 (Web Text))

Max Activating Token Index: 267

Text #8

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Data Index: 1364371 (Python Code)

Max Activating Token Index: 54

Text #9

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Data Index: 416661 (C4 (Web Text))

Max Activating Token Index: 187

Text #10

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Max Activating Token Index: 158

Text #11

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Max Activating Token Index: 40

Text #12

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Data Index: 277072 (C4 (Web Text))

Max Activating Token Index: 322

Text #13

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Data Index: 1405762 (Python Code)

Max Activating Token Index: 507

Text #14

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Data Index: 1602230 (Python Code)

Max Activating Token Index: 558

Text #15

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Max Activating Token Index: 522

Text #16

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Max Activating Token Index: 481

Text #17

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Data Index: 1543698 (Python Code)

Max Activating Token Index: 134

Text #18

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Data Index: 1634417 (Python Code)

Max Activating Token Index: 309

Text #19

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Data Index: 363605 (C4 (Web Text))

Max Activating Token Index: 191