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

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

Neuron 3028 in Layer 2

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



Text #0

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Max Act: 0.1139. Min Act: -0.0003

Data Index: 467580 (C4 (Web Text))

Max Activating Token Index: 144

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Text #1

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Max Act: 0.1091. Min Act: -0.0003

Data Index: 566306 (C4 (Web Text))

Max Activating Token Index: 148

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Text #2

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Max Act: 0.1044. Min Act: -0.0003

Data Index: 1002208 (C4 (Web Text))

Max Activating Token Index: 133

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Text #3

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Data Index: 376733 (C4 (Web Text))

Max Activating Token Index: 152

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Text #4

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Max Act: 0.1100. Min Act: -0.0003

Data Index: 218671 (C4 (Web Text))

Max Activating Token Index: 100

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Truncated

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Text #5

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Data Index: 558478 (C4 (Web Text))

Max Activating Token Index: 909

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Text #6

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Data Index: 598624 (C4 (Web Text))

Max Activating Token Index: 145

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Truncated

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Text #7

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Data Index: 6101 (C4 (Web Text))

Max Activating Token Index: 670

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Truncated

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Text #8

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Data Index: 534786 (C4 (Web Text))

Max Activating Token Index: 811

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Text #9

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Data Index: 819831 (C4 (Web Text))

Max Activating Token Index: 243

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Text #10

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Data Index: 980397 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 986852 (C4 (Web Text))

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Text #13

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Data Index: 582000 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 401544 (C4 (Web Text))

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Text #18

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Max Act: 0.1005. Min Act: -0.0003

Data Index: 55467 (C4 (Web Text))

Max Activating Token Index: 70

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Truncated

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Text #19

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Data Index: 128302 (C4 (Web Text))

Max Activating Token Index: 183

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