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

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

Neuron 6090 in Layer 6

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: 2.1537. Min Act: -0.0000

Data Index: 1084247 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #1

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Data Index: 1301770 (C4 (Web Text))

Max Activating Token Index: 931

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Text #2

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Max Act: 1.8755. Min Act: -0.0000

Data Index: 1165005 (C4 (Web Text))

Max Activating Token Index: 936

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Text #3

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Data Index: 792739 (C4 (Web Text))

Max Activating Token Index: 606

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Text #4

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Max Act: 1.7449. Min Act: -0.0000

Data Index: 617288 (C4 (Web Text))

Max Activating Token Index: 232

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Text #5

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Data Index: 513625 (C4 (Web Text))

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Text #6

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Data Index: 73183 (C4 (Web Text))

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Text #7

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Data Index: 79077 (C4 (Web Text))

Max Activating Token Index: 844

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Text #8

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Data Index: 731174 (C4 (Web Text))

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Text #9

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Data Index: 944988 (C4 (Web Text))

Max Activating Token Index: 658

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Text #10

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Data Index: 175352 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 242198 (C4 (Web Text))

Max Activating Token Index: 441

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Text #14

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Data Index: 1185200 (C4 (Web Text))

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Text #15

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Data Index: 1047381 (C4 (Web Text))

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Text #16

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Data Index: 328802 (C4 (Web Text))

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Text #17

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Data Index: 1046781 (C4 (Web Text))

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Text #18

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Max Act: 1.6581. Min Act: -0.0000

Data Index: 305263 (C4 (Web Text))

Max Activating Token Index: 792

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Text #19

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Data Index: 393687 (C4 (Web Text))

Max Activating Token Index: 88

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