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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2883 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.1029. Min Act: -0.0000

Data Index: 99094 (C4 (Web Text))

Max Activating Token Index: 179

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Text #1

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Data Index: 1055726 (C4 (Web Text))

Max Activating Token Index: 647

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Text #2

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Max Act: 0.0968. Min Act: -0.0001

Data Index: 1518243 (Python Code)

Max Activating Token Index: 1009

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Text #3

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Max Act: 0.0858. Min Act: -0.0001

Data Index: 1177900 (C4 (Web Text))

Max Activating Token Index: 775

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Truncated

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Text #4

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Data Index: 193128 (C4 (Web Text))

Max Activating Token Index: 576

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Text #5

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Data Index: 453316 (C4 (Web Text))

Max Activating Token Index: 354

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Text #6

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Data Index: 1227188 (C4 (Web Text))

Max Activating Token Index: 459

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Text #7

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Data Index: 896244 (C4 (Web Text))

Max Activating Token Index: 877

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Truncated

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Text #8

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Data Index: 819832 (C4 (Web Text))

Max Activating Token Index: 663

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Text #9

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Data Index: 385579 (C4 (Web Text))

Max Activating Token Index: 767

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Text #10

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Data Index: 836043 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 538316 (C4 (Web Text))

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Text #13

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Data Index: 1408530 (Python Code)

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Text #14

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Data Index: 998814 (C4 (Web Text))

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Text #15

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Data Index: 160184 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 229 (C4 (Web Text))

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Text #18

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Data Index: 1308269 (C4 (Web Text))

Max Activating Token Index: 122

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Text #19

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Max Act: 0.0738. Min Act: -0.0000

Data Index: 343208 (C4 (Web Text))

Max Activating Token Index: 751

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