Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 308 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 1403286 (Python Code)

Max Activating Token Index: 216

Text #1

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1498718 (Python Code)

Max Activating Token Index: 141

Text #2

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 1426316 (Python Code)

Max Activating Token Index: 823

Text #3

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 1639818 (Python Code)

Max Activating Token Index: 170

Text #4

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1405796 (Python Code)

Max Activating Token Index: 825

Text #5

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Max Act: 0.0080. Min Act: -0.0002

Data Index: 1388476 (Python Code)

Max Activating Token Index: 194

Text #6

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Data Index: 1578834 (Python Code)

Max Activating Token Index: 155

Text #7

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Data Index: 1395178 (Python Code)

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Text #8

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Data Index: 337574 (C4 (Web Text))

Max Activating Token Index: 4

Text #9

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Data Index: 1550161 (Python Code)

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Text #10

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Data Index: 1471641 (Python Code)

Max Activating Token Index: 564

Text #11

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Data Index: 1465243 (Python Code)

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Text #12

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Data Index: 1436654 (Python Code)

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Text #13

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Data Index: 1505797 (Python Code)

Max Activating Token Index: 271

Text #14

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Data Index: 1515292 (Python Code)

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Text #15

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Data Index: 1481767 (Python Code)

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Text #16

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Data Index: 1462988 (Python Code)

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Text #17

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Data Index: 1453199 (Python Code)

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Text #18

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Data Index: 1399327 (Python Code)

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Text #19

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 1509644 (Python Code)

Max Activating Token Index: 200