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

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

Neuron 2877 in Layer 3

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: 0.0283. Min Act: -0.0001

Data Index: 334789 (C4 (Web Text))

Max Activating Token Index: 154

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Text #1

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Max Act: 0.0280. Min Act: -0.0001

Data Index: 954855 (C4 (Web Text))

Max Activating Token Index: 202

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Truncated

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Text #2

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Max Act: 0.0280. Min Act: -0.0001

Data Index: 446764 (C4 (Web Text))

Max Activating Token Index: 161

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Text #3

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Max Act: 0.0225. Min Act: -0.0001

Data Index: 1149073 (C4 (Web Text))

Max Activating Token Index: 281

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Truncated

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Text #4

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Data Index: 597621 (C4 (Web Text))

Max Activating Token Index: 209

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Text #5

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Data Index: 689369 (C4 (Web Text))

Max Activating Token Index: 158

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Text #6

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Data Index: 909414 (C4 (Web Text))

Max Activating Token Index: 160

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Truncated

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Text #7

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Data Index: 1014409 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 278806 (C4 (Web Text))

Max Activating Token Index: 50

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Text #9

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Data Index: 1249364 (C4 (Web Text))

Max Activating Token Index: 170

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Text #10

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Data Index: 800061 (C4 (Web Text))

Max Activating Token Index: 367

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Text #11

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Data Index: 46044 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 807229 (C4 (Web Text))

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Text #13

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Max Activating Token Index: 86

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Text #14

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Data Index: 834333 (C4 (Web Text))

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Text #15

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Data Index: 105435 (C4 (Web Text))

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Text #16

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Data Index: 984374 (C4 (Web Text))

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Text #17

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Data Index: 1512779 (Python Code)

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Text #18

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Data Index: 170486 (C4 (Web Text))

Max Activating Token Index: 193

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Text #19

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Data Index: 1600354 (Python Code)

Max Activating Token Index: 194

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