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

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

Neuron 18 in Layer 3

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: 0.0453. Min Act: -0.0001

Data Index: 295766 (C4 (Web Text))

Max Activating Token Index: 388

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Text #1

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Max Act: 0.0421. Min Act: -0.0002

Data Index: 664521 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0392. Min Act: -0.0001

Data Index: 103790 (C4 (Web Text))

Max Activating Token Index: 158

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Text #3

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Max Act: 0.0409. Min Act: -0.0001

Data Index: 4958 (C4 (Web Text))

Max Activating Token Index: 588

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Truncated

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Text #4

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Max Act: 0.0377. Min Act: -0.0001

Data Index: 1279147 (C4 (Web Text))

Max Activating Token Index: 132

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Truncated

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Text #5

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Max Act: 0.0362. Min Act: -0.0001

Data Index: 870995 (C4 (Web Text))

Max Activating Token Index: 129

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Text #6

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Data Index: 1021281 (C4 (Web Text))

Max Activating Token Index: 688

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Truncated

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Text #7

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Data Index: 1006226 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1131284 (C4 (Web Text))

Max Activating Token Index: 168

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Text #9

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Data Index: 1026543 (C4 (Web Text))

Max Activating Token Index: 211

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Text #10

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Data Index: 1176901 (C4 (Web Text))

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Truncated

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Text #11

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Text #12

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Data Index: 534911 (C4 (Web Text))

Max Activating Token Index: 635

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Text #13

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Max Activating Token Index: 631

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Truncated

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Text #14

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Text #15

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Data Index: 1200117 (C4 (Web Text))

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Text #16

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Text #17

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Max Act: 0.0357. Min Act: -0.0001

Data Index: 644043 (C4 (Web Text))

Max Activating Token Index: 368

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Text #18

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Max Act: 0.0346. Min Act: -0.0001

Data Index: 833937 (C4 (Web Text))

Max Activating Token Index: 309

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Text #19

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Max Act: 0.0354. Min Act: -0.0001

Data Index: 61475 (C4 (Web Text))

Max Activating Token Index: 125

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