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

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

Neuron 4719 in Layer 3

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: 0.0262. Min Act: -0.0001

Data Index: 922029 (C4 (Web Text))

Max Activating Token Index: 347

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Truncated

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Text #1

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Max Act: 0.0213. Min Act: -0.0001

Data Index: 521725 (C4 (Web Text))

Max Activating Token Index: 411

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Truncated

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Text #2

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Max Act: 0.0201. Min Act: -0.0001

Data Index: 1112932 (C4 (Web Text))

Max Activating Token Index: 761

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Truncated

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Text #3

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Max Act: 0.0198. Min Act: -0.0001

Data Index: 365189 (C4 (Web Text))

Max Activating Token Index: 177

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Truncated

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Text #4

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Max Act: 0.0212. Min Act: -0.0001

Data Index: 473493 (C4 (Web Text))

Max Activating Token Index: 302

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Truncated

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Text #5

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Max Act: 0.0215. Min Act: -0.0001

Data Index: 1329229 (C4 (Web Text))

Max Activating Token Index: 246

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Text #6

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Data Index: 670464 (C4 (Web Text))

Max Activating Token Index: 974

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Truncated

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Text #7

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Data Index: 1294131 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 530156 (C4 (Web Text))

Max Activating Token Index: 409

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Truncated

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Text #9

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Data Index: 145382 (C4 (Web Text))

Max Activating Token Index: 477

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Truncated

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Text #10

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Data Index: 107996 (C4 (Web Text))

Max Activating Token Index: 13

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Truncated

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Text #11

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Data Index: 1158357 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 344367 (C4 (Web Text))

Max Activating Token Index: 469

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Text #13

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Data Index: 918114 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1486729 (Python Code)

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Text #15

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Data Index: 358743 (C4 (Web Text))

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Text #16

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Data Index: 512622 (C4 (Web Text))

Max Activating Token Index: 403

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Truncated

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Text #17

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Max Act: 0.0192. Min Act: -0.0001

Data Index: 1029773 (C4 (Web Text))

Max Activating Token Index: 400

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Text #18

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Data Index: 1543102 (Python Code)

Max Activating Token Index: 243

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Truncated

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Text #19

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Data Index: 641002 (C4 (Web Text))

Max Activating Token Index: 1009

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