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

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

Neuron 3008 in Layer 4

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: 4.9367. Min Act: -0.0001

Data Index: 325551 (C4 (Web Text))

Max Activating Token Index: 519

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Text #1

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Max Act: 3.3910. Min Act: -0.0001

Data Index: 381380 (C4 (Web Text))

Max Activating Token Index: 216

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Text #2

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Max Act: 3.2799. Min Act: -0.0001

Data Index: 530025 (C4 (Web Text))

Max Activating Token Index: 202

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Text #3

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Max Act: 3.2752. Min Act: -0.0001

Data Index: 1036199 (C4 (Web Text))

Max Activating Token Index: 829

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Text #4

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Max Act: 3.2637. Min Act: -0.0001

Data Index: 712475 (C4 (Web Text))

Max Activating Token Index: 445

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Text #5

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Max Act: 3.0823. Min Act: -0.0001

Data Index: 141766 (C4 (Web Text))

Max Activating Token Index: 961

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Text #6

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Data Index: 274266 (C4 (Web Text))

Max Activating Token Index: 206

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Text #7

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Text #8

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Data Index: 852057 (C4 (Web Text))

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Text #9

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Data Index: 10758 (C4 (Web Text))

Max Activating Token Index: 327

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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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Text #16

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Text #17

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Text #18

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Data Index: 43105 (C4 (Web Text))

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Text #19

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Data Index: 1255542 (C4 (Web Text))

Max Activating Token Index: 119

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