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

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

Neuron 986 in Layer 0

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

Text #0

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Data Index: 936203 (C4 (Web Text))

Max Activating Token Index: 502

Text #1

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Max Act: 0.0107. Min Act: -0.0003

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Max Activating Token Index: 76

Text #2

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Max Activating Token Index: 965

Text #3

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Max Act: 0.0103. Min Act: -0.0003

Data Index: 162240 (C4 (Web Text))

Max Activating Token Index: 134

Text #4

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Max Act: 0.0101. Min Act: -0.0003

Data Index: 153560 (C4 (Web Text))

Max Activating Token Index: 55

Text #5

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Max Act: 0.0101. Min Act: -0.0003

Data Index: 264109 (C4 (Web Text))

Max Activating Token Index: 101

Text #6

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Text #7

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Max Activating Token Index: 148

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 217

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Text #12

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Max Activating Token Index: 86

Text #13

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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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Max Activating Token Index: 358

Text #18

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Text #19

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Data Index: 1048965 (C4 (Web Text))

Max Activating Token Index: 51