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

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

Neuron 1209 in Layer 1

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



Text #0

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Max Act: 0.0242. Min Act: -0.0004

Data Index: 1638627 (Python Code)

Max Activating Token Index: 659

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Text #1

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Max Act: 0.0215. Min Act: -0.0004

Data Index: 1426501 (Python Code)

Max Activating Token Index: 487

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Text #2

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Max Act: 0.0222. Min Act: -0.0004

Data Index: 1497415 (Python Code)

Max Activating Token Index: 828

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Text #3

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Max Act: 0.0213. Min Act: -0.0004

Data Index: 1556336 (Python Code)

Max Activating Token Index: 237

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Text #4

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Data Index: 1610144 (Python Code)

Max Activating Token Index: 756

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Text #5

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Data Index: 1453368 (Python Code)

Max Activating Token Index: 963

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Text #6

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Data Index: 1630067 (Python Code)

Max Activating Token Index: 752

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Text #7

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Data Index: 1377202 (Python Code)

Max Activating Token Index: 641

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Text #8

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Data Index: 1593443 (Python Code)

Max Activating Token Index: 744

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Text #9

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Data Index: 1413719 (Python Code)

Max Activating Token Index: 269

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Text #10

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Data Index: 299285 (C4 (Web Text))

Max Activating Token Index: 189

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Text #11

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Data Index: 578201 (C4 (Web Text))

Max Activating Token Index: 177

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Text #12

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Data Index: 1458095 (Python Code)

Max Activating Token Index: 43

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Text #13

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Data Index: 1448501 (Python Code)

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Text #14

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Data Index: 1433292 (Python Code)

Max Activating Token Index: 642

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Text #15

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Data Index: 1621958 (Python Code)

Max Activating Token Index: 715

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Text #16

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Data Index: 1571183 (Python Code)

Max Activating Token Index: 659

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Text #17

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Data Index: 1378087 (Python Code)

Max Activating Token Index: 903

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Text #18

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Data Index: 1532306 (Python Code)

Max Activating Token Index: 914

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Text #19

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Max Act: 0.0194. Min Act: -0.0004

Data Index: 1655785 (Python Code)

Max Activating Token Index: 714

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