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

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

Neuron 831 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: 0.0211. Min Act: -0.0003

Data Index: 600606 (C4 (Web Text))

Max Activating Token Index: 802

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Text #1

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Data Index: 287213 (C4 (Web Text))

Max Activating Token Index: 850

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Text #2

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Max Act: 0.0192. Min Act: -0.0003

Data Index: 936404 (C4 (Web Text))

Max Activating Token Index: 634

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Text #3

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Data Index: 704949 (C4 (Web Text))

Max Activating Token Index: 49

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Text #4

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Data Index: 933943 (C4 (Web Text))

Max Activating Token Index: 572

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Text #5

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Data Index: 1211129 (C4 (Web Text))

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Text #6

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Data Index: 1337476 (C4 (Web Text))

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Text #7

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Data Index: 1616410 (Python Code)

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Text #8

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Data Index: 808417 (C4 (Web Text))

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Text #9

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Data Index: 91216 (C4 (Web Text))

Max Activating Token Index: 213

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Text #10

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Data Index: 75873 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 261841 (C4 (Web Text))

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Text #13

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Data Index: 304231 (C4 (Web Text))

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Text #14

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Data Index: 1489964 (Python Code)

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Text #15

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Data Index: 248484 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1119012 (C4 (Web Text))

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Text #18

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Data Index: 627333 (C4 (Web Text))

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Text #19

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Data Index: 506513 (C4 (Web Text))

Max Activating Token Index: 189

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