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

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

Neuron 144 in Layer 1

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



Text #0

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Max Act: 0.0202. Min Act: -0.0003

Data Index: 1648213 (Python Code)

Max Activating Token Index: 134

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Text #1

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Max Act: 0.0152. Min Act: -0.0004

Data Index: 1650495 (Python Code)

Max Activating Token Index: 468

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Text #2

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Max Act: 0.0118. Min Act: -0.0004

Data Index: 1620769 (Python Code)

Max Activating Token Index: 380

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Text #3

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Data Index: 1649575 (Python Code)

Max Activating Token Index: 232

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Text #4

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Data Index: 1577527 (Python Code)

Max Activating Token Index: 394

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Text #5

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Data Index: 1367410 (Python Code)

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Text #6

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Data Index: 1417997 (Python Code)

Max Activating Token Index: 608

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Text #7

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Data Index: 1597176 (Python Code)

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Text #8

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Data Index: 1515709 (Python Code)

Max Activating Token Index: 589

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Text #9

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Data Index: 1447147 (Python Code)

Max Activating Token Index: 477

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Text #10

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Data Index: 1546284 (Python Code)

Max Activating Token Index: 529

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Text #11

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Data Index: 1481969 (Python Code)

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Text #12

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Data Index: 662986 (C4 (Web Text))

Max Activating Token Index: 196

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Text #13

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Data Index: 1068518 (C4 (Web Text))

Max Activating Token Index: 266

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Text #14

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Data Index: 1639782 (Python Code)

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Text #15

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Text #16

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Data Index: 1490439 (Python Code)

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Text #17

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Data Index: 1374067 (Python Code)

Max Activating Token Index: 421

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Text #18

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Data Index: 1492860 (Python Code)

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Text #19

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Data Index: 1391635 (Python Code)

Max Activating Token Index: 746

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