Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1153 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0220. Min Act: -0.0004

Data Index: 299919 (C4 (Web Text))

Max Activating Token Index: 93

Text #1

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Max Act: 0.0201. Min Act: -0.0004

Data Index: 660416 (C4 (Web Text))

Max Activating Token Index: 144

Text #2

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Max Act: 0.0186. Min Act: -0.0004

Data Index: 219187 (C4 (Web Text))

Max Activating Token Index: 397

Text #3

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Max Act: 0.0177. Min Act: -0.0004

Data Index: 54241 (C4 (Web Text))

Max Activating Token Index: 465

Text #4

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Max Act: 0.0175. Min Act: -0.0004

Data Index: 1226846 (C4 (Web Text))

Max Activating Token Index: 453

Text #5

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Max Act: 0.0175. Min Act: -0.0004

Data Index: 1176650 (C4 (Web Text))

Max Activating Token Index: 486

Text #6

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Max Act: 0.0177. Min Act: -0.0004

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Max Activating Token Index: 133

Text #7

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Max Activating Token Index: 737

Text #8

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Max Activating Token Index: 276

Text #9

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Max Activating Token Index: 798

Text #10

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Max Activating Token Index: 701

Text #11

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Max Activating Token Index: 79

Text #12

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Max Activating Token Index: 117

Text #13

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Max Activating Token Index: 721

Text #14

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Max Activating Token Index: 115

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 471

Text #18

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Max Activating Token Index: 222

Text #19

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Data Index: 507069 (C4 (Web Text))

Max Activating Token Index: 314