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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1140 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0054. Min Act: -0.0003

Data Index: 1472170 (Python Code)

Max Activating Token Index: 583

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Text #1

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Max Act: 0.0052. Min Act: -0.0003

Data Index: 1520220 (Python Code)

Max Activating Token Index: 453

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Text #2

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Max Act: 0.0051. Min Act: -0.0003

Data Index: 1652565 (Python Code)

Max Activating Token Index: 394

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Text #3

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Max Act: 0.0051. Min Act: -0.0003

Data Index: 1427355 (Python Code)

Max Activating Token Index: 373

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Text #4

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Max Act: 0.0050. Min Act: -0.0003

Data Index: 1396055 (Python Code)

Max Activating Token Index: 164

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Text #5

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Max Act: 0.0050. Min Act: -0.0003

Data Index: 1484973 (Python Code)

Max Activating Token Index: 243

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Text #6

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Data Index: 1523381 (Python Code)

Max Activating Token Index: 584

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Text #7

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Data Index: 1504662 (Python Code)

Max Activating Token Index: 362

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Text #8

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Data Index: 1526626 (Python Code)

Max Activating Token Index: 643

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Text #9

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Data Index: 1477378 (Python Code)

Max Activating Token Index: 379

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Text #10

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Data Index: 1421855 (Python Code)

Max Activating Token Index: 766

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Text #11

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Data Index: 1382493 (Python Code)

Max Activating Token Index: 211

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Text #12

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Data Index: 1586412 (Python Code)

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Text #13

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Max Act: 0.0049. Min Act: -0.0003

Data Index: 1122662 (C4 (Web Text))

Max Activating Token Index: 149

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Text #14

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Data Index: 1359907 (Python Code)

Max Activating Token Index: 66

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Text #15

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Data Index: 1444374 (Python Code)

Max Activating Token Index: 480

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Text #16

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Data Index: 1361228 (Python Code)

Max Activating Token Index: 324

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Text #17

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Data Index: 1417790 (Python Code)

Max Activating Token Index: 181

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Text #18

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Max Act: 0.0048. Min Act: -0.0003

Data Index: 529763 (C4 (Web Text))

Max Activating Token Index: 766

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Text #19

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Max Act: 0.0049. Min Act: -0.0003

Data Index: 1423235 (Python Code)

Max Activating Token Index: 459

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