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

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

Neuron 74 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0346. Min Act: -0.0001

Data Index: 205940 (C4 (Web Text))

Max Activating Token Index: 963

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Text #1

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Max Act: 0.0339. Min Act: -0.0001

Data Index: 812168 (C4 (Web Text))

Max Activating Token Index: 917

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Truncated

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Text #2

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Max Act: 0.0292. Min Act: -0.0001

Data Index: 688181 (C4 (Web Text))

Max Activating Token Index: 919

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Text #3

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Max Act: 0.0286. Min Act: -0.0001

Data Index: 1340164 (C4 (Web Text))

Max Activating Token Index: 917

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Truncated

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Text #4

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Data Index: 564424 (C4 (Web Text))

Max Activating Token Index: 952

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Truncated

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Text #5

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Data Index: 737071 (C4 (Web Text))

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Text #6

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Data Index: 1655713 (Python Code)

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Text #7

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Data Index: 1230115 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1115125 (C4 (Web Text))

Max Activating Token Index: 907

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Text #9

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Data Index: 672730 (C4 (Web Text))

Max Activating Token Index: 895

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Truncated

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Text #10

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Data Index: 349173 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 182414 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1396861 (Python Code)

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Text #13

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Data Index: 419879 (C4 (Web Text))

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Truncated

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Text #14

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Text #15

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Data Index: 1264761 (C4 (Web Text))

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Text #16

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Data Index: 1336858 (C4 (Web Text))

Max Activating Token Index: 864

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Text #17

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Data Index: 33240 (C4 (Web Text))

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Text #18

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Max Act: 0.0229. Min Act: -0.0001

Data Index: 566198 (C4 (Web Text))

Max Activating Token Index: 911

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Text #19

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Data Index: 214232 (C4 (Web Text))

Max Activating Token Index: 970

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