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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4478 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0385. Min Act: -0.0001

Data Index: 194662 (C4 (Web Text))

Max Activating Token Index: 154

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Text #1

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Max Act: 0.0349. Min Act: -0.0001

Data Index: 122084 (C4 (Web Text))

Max Activating Token Index: 15

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Text #2

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Max Act: 0.0354. Min Act: -0.0001

Data Index: 1022910 (C4 (Web Text))

Max Activating Token Index: 256

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Text #3

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Data Index: 1028471 (C4 (Web Text))

Max Activating Token Index: 422

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Text #4

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Data Index: 530450 (C4 (Web Text))

Max Activating Token Index: 208

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Truncated

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Text #5

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Data Index: 1053020 (C4 (Web Text))

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Text #6

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Data Index: 953950 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 1153488 (C4 (Web Text))

Max Activating Token Index: 810

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Text #9

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Data Index: 168466 (C4 (Web Text))

Max Activating Token Index: 709

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 1338885 (C4 (Web Text))

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Text #15

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Data Index: 1063565 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1383203 (Python Code)

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Text #18

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Data Index: 136210 (C4 (Web Text))

Max Activating Token Index: 659

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Truncated

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Text #19

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Data Index: 425711 (C4 (Web Text))

Max Activating Token Index: 363

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