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

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

Neuron 1243 in Layer 8

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: 1.7410. Min Act: -0.0000

Data Index: 238862 (C4 (Web Text))

Max Activating Token Index: 254

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Text #1

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Max Act: 1.5255. Min Act: -0.0000

Data Index: 1603204 (Python Code)

Max Activating Token Index: 995

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Text #2

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Max Act: 1.5384. Min Act: -0.0000

Data Index: 588795 (C4 (Web Text))

Max Activating Token Index: 979

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Text #3

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Max Act: 1.3398. Min Act: -0.0000

Data Index: 1060400 (C4 (Web Text))

Max Activating Token Index: 998

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Text #4

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Data Index: 422073 (C4 (Web Text))

Max Activating Token Index: 466

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Text #5

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Data Index: 318961 (C4 (Web Text))

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Text #6

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Data Index: 1033963 (C4 (Web Text))

Max Activating Token Index: 318

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Text #7

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Data Index: 1456554 (Python Code)

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Text #8

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Data Index: 1262115 (C4 (Web Text))

Max Activating Token Index: 415

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Text #9

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Data Index: 236649 (C4 (Web Text))

Max Activating Token Index: 679

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Text #10

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Text #11

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Data Index: 1359192 (C4 (Web Text))

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Text #12

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Data Index: 1159745 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 843071 (C4 (Web Text))

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Text #15

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Data Index: 1259287 (C4 (Web Text))

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Text #16

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Text #17

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Max Act: 1.1090. Min Act: -0.0000

Data Index: 316559 (C4 (Web Text))

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Text #18

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Data Index: 874011 (C4 (Web Text))

Max Activating Token Index: 239

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Text #19

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Data Index: 140059 (C4 (Web Text))

Max Activating Token Index: 993

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