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

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

Neuron 315 in Layer 5

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: 2.2927. Min Act: -0.0001

Data Index: 1271630 (C4 (Web Text))

Max Activating Token Index: 400

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Text #1

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Data Index: 1179983 (C4 (Web Text))

Max Activating Token Index: 127

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Text #2

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Data Index: 302538 (C4 (Web Text))

Max Activating Token Index: 341

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Text #3

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Data Index: 596244 (C4 (Web Text))

Max Activating Token Index: 961

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Text #4

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Data Index: 316803 (C4 (Web Text))

Max Activating Token Index: 993

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Text #5

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Data Index: 330264 (C4 (Web Text))

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Text #6

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Data Index: 85191 (C4 (Web Text))

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Text #7

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Data Index: 40965 (C4 (Web Text))

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Text #8

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Data Index: 294481 (C4 (Web Text))

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Text #9

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Data Index: 421138 (C4 (Web Text))

Max Activating Token Index: 441

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Text #10

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Data Index: 1080815 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 565024 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 1478330 (Python Code)

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Text #16

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Data Index: 290643 (C4 (Web Text))

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Text #17

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Data Index: 142834 (C4 (Web Text))

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Text #18

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Data Index: 1619260 (Python Code)

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Text #19

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Data Index: 500316 (C4 (Web Text))

Max Activating Token Index: 82

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