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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 5068 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.8489. Min Act: -0.0001

Data Index: 772018 (C4 (Web Text))

Max Activating Token Index: 130

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Text #1

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Max Act: 0.8160. Min Act: -0.0001

Data Index: 958604 (C4 (Web Text))

Max Activating Token Index: 934

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Text #2

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Max Act: 0.7934. Min Act: -0.0001

Data Index: 66339 (C4 (Web Text))

Max Activating Token Index: 410

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Text #3

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Max Act: 0.7524. Min Act: -0.0001

Data Index: 1009885 (C4 (Web Text))

Max Activating Token Index: 1004

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Text #4

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Data Index: 1388885 (Python Code)

Max Activating Token Index: 500

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Text #5

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Data Index: 130617 (C4 (Web Text))

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Text #6

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Data Index: 484757 (C4 (Web Text))

Max Activating Token Index: 234

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Text #7

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Data Index: 996454 (C4 (Web Text))

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Text #8

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Data Index: 609569 (C4 (Web Text))

Max Activating Token Index: 580

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Text #9

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Data Index: 1598095 (Python Code)

Max Activating Token Index: 479

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Text #10

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Data Index: 251198 (C4 (Web Text))

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Text #11

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Data Index: 312555 (C4 (Web Text))

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Text #12

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Data Index: 468501 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1331915 (C4 (Web Text))

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Text #15

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Data Index: 1446713 (Python Code)

Max Activating Token Index: 891

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Text #16

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Data Index: 1027305 (C4 (Web Text))

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Text #17

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Max Act: 0.7184. Min Act: -0.0001

Data Index: 465260 (C4 (Web Text))

Max Activating Token Index: 506

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Text #18

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Data Index: 1185828 (C4 (Web Text))

Max Activating Token Index: 580

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Text #19

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Data Index: 157988 (C4 (Web Text))

Max Activating Token Index: 579

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