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

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

Neuron 718 in Layer 2

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: 0.0299. Min Act: -0.0002

Data Index: 524202 (C4 (Web Text))

Max Activating Token Index: 903

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Text #1

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Max Act: 0.0270. Min Act: -0.0002

Data Index: 436968 (C4 (Web Text))

Max Activating Token Index: 200

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Text #2

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Max Act: 0.0268. Min Act: -0.0002

Data Index: 648651 (C4 (Web Text))

Max Activating Token Index: 230

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Text #3

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Max Act: 0.0267. Min Act: -0.0002

Data Index: 105775 (C4 (Web Text))

Max Activating Token Index: 285

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Text #4

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Data Index: 1132278 (C4 (Web Text))

Max Activating Token Index: 591

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Text #5

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Max Act: 0.0238. Min Act: -0.0002

Data Index: 389974 (C4 (Web Text))

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Text #6

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Data Index: 14224 (C4 (Web Text))

Max Activating Token Index: 50

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Text #7

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Data Index: 243284 (C4 (Web Text))

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Text #8

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Data Index: 711332 (C4 (Web Text))

Max Activating Token Index: 201

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Text #9

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Data Index: 899751 (C4 (Web Text))

Max Activating Token Index: 428

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Text #10

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Data Index: 1204270 (C4 (Web Text))

Max Activating Token Index: 389

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Text #11

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Data Index: 1026557 (C4 (Web Text))

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Text #12

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Data Index: 877301 (C4 (Web Text))

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Text #13

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Data Index: 1348474 (C4 (Web Text))

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Text #14

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Data Index: 501660 (C4 (Web Text))

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Text #15

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Data Index: 185385 (C4 (Web Text))

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Text #16

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Data Index: 1378278 (Python Code)

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Text #17

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Data Index: 1190675 (C4 (Web Text))

Max Activating Token Index: 796

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Text #18

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Data Index: 1411597 (Python Code)

Max Activating Token Index: 236

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Text #19

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Data Index: 1074057 (C4 (Web Text))

Max Activating Token Index: 468

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