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

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

Neuron 2606 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: 0.0225. Min Act: -0.0001

Data Index: 1128737 (C4 (Web Text))

Max Activating Token Index: 526

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Text #1

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Max Act: 0.0190. Min Act: -0.0001

Data Index: 168198 (C4 (Web Text))

Max Activating Token Index: 591

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Truncated

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Text #2

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Max Act: 0.0182. Min Act: -0.0001

Data Index: 1118342 (C4 (Web Text))

Max Activating Token Index: 512

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Text #3

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Max Act: 0.0181. Min Act: -0.0001

Data Index: 385579 (C4 (Web Text))

Max Activating Token Index: 735

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Truncated

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Text #4

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Max Act: 0.0186. Min Act: -0.0001

Data Index: 1078062 (C4 (Web Text))

Max Activating Token Index: 340

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Truncated

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Text #5

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Max Act: 0.0176. Min Act: -0.0001

Data Index: 723474 (C4 (Web Text))

Max Activating Token Index: 473

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Text #6

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Max Act: 0.0169. Min Act: -0.0001

Data Index: 535061 (C4 (Web Text))

Max Activating Token Index: 296

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Truncated

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Text #7

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Data Index: 3348 (C4 (Web Text))

Max Activating Token Index: 648

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Truncated

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Text #8

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Data Index: 128468 (C4 (Web Text))

Max Activating Token Index: 474

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Text #9

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Data Index: 1611442 (Python Code)

Max Activating Token Index: 445

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Text #10

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Data Index: 1040629 (C4 (Web Text))

Max Activating Token Index: 895

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Truncated

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Text #11

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Data Index: 1262640 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1409777 (Python Code)

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Text #13

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Data Index: 815270 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 950062 (C4 (Web Text))

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Text #15

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Data Index: 451272 (C4 (Web Text))

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Text #16

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Data Index: 1103273 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.0145. Min Act: -0.0001

Data Index: 264311 (C4 (Web Text))

Max Activating Token Index: 763

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Text #18

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Max Act: 0.0155. Min Act: -0.0001

Data Index: 1322397 (C4 (Web Text))

Max Activating Token Index: 870

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Truncated

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Text #19

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Data Index: 82188 (C4 (Web Text))

Max Activating Token Index: 525

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