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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 676 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0200. Min Act: -0.0003

Data Index: 1479249 (Python Code)

Max Activating Token Index: 268

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Text #1

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 1088490 (C4 (Web Text))

Max Activating Token Index: 886

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Text #2

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 1179874 (C4 (Web Text))

Max Activating Token Index: 277

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Text #3

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Max Act: 0.0192. Min Act: -0.0003

Data Index: 1116845 (C4 (Web Text))

Max Activating Token Index: 214

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Text #4

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1005299 (C4 (Web Text))

Max Activating Token Index: 536

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Text #5

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Max Act: 0.0195. Min Act: -0.0003

Data Index: 1258025 (C4 (Web Text))

Max Activating Token Index: 828

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Text #6

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Data Index: 1643497 (Python Code)

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Text #7

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Data Index: 716240 (C4 (Web Text))

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Text #8

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Data Index: 1202579 (C4 (Web Text))

Max Activating Token Index: 812

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Text #9

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Data Index: 1174202 (C4 (Web Text))

Max Activating Token Index: 163

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Text #10

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Data Index: 788655 (C4 (Web Text))

Max Activating Token Index: 644

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Text #11

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Data Index: 1135492 (C4 (Web Text))

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Text #12

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Data Index: 149676 (C4 (Web Text))

Max Activating Token Index: 159

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Text #13

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Data Index: 1073900 (C4 (Web Text))

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Text #14

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Data Index: 63021 (C4 (Web Text))

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Text #15

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Data Index: 1554043 (Python Code)

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Text #16

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Data Index: 876307 (C4 (Web Text))

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Text #17

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Data Index: 327228 (C4 (Web Text))

Max Activating Token Index: 808

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Text #18

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Data Index: 528319 (C4 (Web Text))

Max Activating Token Index: 805

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Text #19

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Data Index: 1473639 (Python Code)

Max Activating Token Index: 459

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