Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2032 in Layer 7

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0483. Min Act: -0.0001

Data Index: 1187439 (C4 (Web Text))

Max Activating Token Index: 948

Text #1

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Data Index: 167816 (C4 (Web Text))

Max Activating Token Index: 1002

Text #2

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Max Act: 0.0452. Min Act: -0.0001

Data Index: 895179 (C4 (Web Text))

Max Activating Token Index: 385

Text #3

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Max Act: 0.0419. Min Act: -0.0000

Data Index: 879743 (C4 (Web Text))

Max Activating Token Index: 474

Text #4

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Data Index: 1344474 (C4 (Web Text))

Max Activating Token Index: 769

Text #5

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Data Index: 944928 (C4 (Web Text))

Max Activating Token Index: 380

Text #6

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Data Index: 852449 (C4 (Web Text))

Max Activating Token Index: 285

Text #7

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Data Index: 632173 (C4 (Web Text))

Max Activating Token Index: 192

Text #8

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Max Activating Token Index: 846

Text #9

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Data Index: 91588 (C4 (Web Text))

Max Activating Token Index: 243

Text #10

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Data Index: 776195 (C4 (Web Text))

Max Activating Token Index: 330

Text #11

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Data Index: 692347 (C4 (Web Text))

Max Activating Token Index: 773

Text #12

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Data Index: 1597181 (Python Code)

Max Activating Token Index: 836

Text #13

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Data Index: 65511 (C4 (Web Text))

Max Activating Token Index: 525

Text #14

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Data Index: 815302 (C4 (Web Text))

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Text #15

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Max Activating Token Index: 202

Text #16

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Max Activating Token Index: 814

Text #17

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Data Index: 1361152 (Python Code)

Max Activating Token Index: 929

Text #18

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Data Index: 1451224 (Python Code)

Max Activating Token Index: 872

Text #19

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Data Index: 1261584 (C4 (Web Text))

Max Activating Token Index: 945