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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1023 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.1335. Min Act: -0.0005

Data Index: 1502922 (Python Code)

Max Activating Token Index: 948

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Text #1

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Data Index: 359169 (C4 (Web Text))

Max Activating Token Index: 614

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Text #2

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Max Act: 0.1245. Min Act: -0.0005

Data Index: 1544730 (Python Code)

Max Activating Token Index: 296

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Text #3

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Max Act: 0.1185. Min Act: -0.0005

Data Index: 931270 (C4 (Web Text))

Max Activating Token Index: 819

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Text #4

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Data Index: 423337 (C4 (Web Text))

Max Activating Token Index: 833

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Text #5

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Data Index: 1137623 (C4 (Web Text))

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Text #6

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Data Index: 58337 (C4 (Web Text))

Max Activating Token Index: 429

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Text #7

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Data Index: 138713 (C4 (Web Text))

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Text #8

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Data Index: 1348417 (C4 (Web Text))

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Text #9

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Data Index: 872811 (C4 (Web Text))

Max Activating Token Index: 815

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Text #10

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Data Index: 70647 (C4 (Web Text))

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Text #11

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Data Index: 1158215 (C4 (Web Text))

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Text #12

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Data Index: 1380665 (Python Code)

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Text #13

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Data Index: 628167 (C4 (Web Text))

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Text #14

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Data Index: 384415 (C4 (Web Text))

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Text #15

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Data Index: 28464 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1058839 (C4 (Web Text))

Max Activating Token Index: 935

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Text #18

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Data Index: 1010268 (C4 (Web Text))

Max Activating Token Index: 814

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Text #19

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Data Index: 228245 (C4 (Web Text))

Max Activating Token Index: 790

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