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

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

Neuron 4209 in Layer 2

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: 0.0421. Min Act: -0.0002

Data Index: 827521 (C4 (Web Text))

Max Activating Token Index: 607

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Text #1

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 1578469 (Python Code)

Max Activating Token Index: 211

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Truncated

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Text #2

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Max Act: 0.0367. Min Act: -0.0002

Data Index: 1083359 (C4 (Web Text))

Max Activating Token Index: 258

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Text #3

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Max Act: 0.0375. Min Act: -0.0002

Data Index: 1458834 (Python Code)

Max Activating Token Index: 719

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Truncated

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Text #4

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Max Act: 0.0366. Min Act: -0.0002

Data Index: 602488 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #5

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Max Act: 0.0364. Min Act: -0.0002

Data Index: 1082254 (C4 (Web Text))

Max Activating Token Index: 211

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Text #6

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Data Index: 1182572 (C4 (Web Text))

Max Activating Token Index: 561

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Text #7

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Data Index: 370832 (C4 (Web Text))

Max Activating Token Index: 91

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Text #8

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Data Index: 799844 (C4 (Web Text))

Max Activating Token Index: 573

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Text #9

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Data Index: 842242 (C4 (Web Text))

Max Activating Token Index: 204

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Text #10

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Data Index: 904789 (C4 (Web Text))

Max Activating Token Index: 549

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Text #11

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Data Index: 1358130 (C4 (Web Text))

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Text #12

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Data Index: 706217 (C4 (Web Text))

Max Activating Token Index: 110

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Text #13

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Data Index: 317781 (C4 (Web Text))

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Text #14

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Data Index: 304184 (C4 (Web Text))

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Text #15

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Data Index: 121361 (C4 (Web Text))

Max Activating Token Index: 864

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Text #16

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Data Index: 1185297 (C4 (Web Text))

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Text #17

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Max Act: 0.0310. Min Act: -0.0002

Data Index: 1648104 (Python Code)

Max Activating Token Index: 233

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Text #18

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Max Act: 0.0312. Min Act: -0.0002

Data Index: 680626 (C4 (Web Text))

Max Activating Token Index: 619

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Text #19

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Max Act: 0.0317. Min Act: -0.0002

Data Index: 1272738 (C4 (Web Text))

Max Activating Token Index: 120

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