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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3037 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0480. Min Act: -0.0003

Data Index: 138690 (C4 (Web Text))

Max Activating Token Index: 929

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Text #1

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Max Act: 0.0468. Min Act: -0.0003

Data Index: 292866 (C4 (Web Text))

Max Activating Token Index: 184

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Text #2

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Data Index: 1242371 (C4 (Web Text))

Max Activating Token Index: 849

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Text #3

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Data Index: 773338 (C4 (Web Text))

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Text #4

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Data Index: 82278 (C4 (Web Text))

Max Activating Token Index: 290

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Text #5

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Data Index: 570758 (C4 (Web Text))

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Text #6

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Data Index: 755830 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1172447 (C4 (Web Text))

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Text #9

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Data Index: 257558 (C4 (Web Text))

Max Activating Token Index: 702

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 1449074 (Python Code)

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Text #16

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Text #17

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Data Index: 680539 (C4 (Web Text))

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Text #18

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Data Index: 1262400 (C4 (Web Text))

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Text #19

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Data Index: 1173651 (C4 (Web Text))

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