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

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

Neuron 3026 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: 0.0414. Min Act: -0.0001

Data Index: 433284 (C4 (Web Text))

Max Activating Token Index: 619

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Text #1

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Data Index: 7216 (C4 (Web Text))

Max Activating Token Index: 971

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Text #2

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Data Index: 651038 (C4 (Web Text))

Max Activating Token Index: 694

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Text #3

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Data Index: 209926 (C4 (Web Text))

Max Activating Token Index: 1016

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Text #4

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Data Index: 620335 (C4 (Web Text))

Max Activating Token Index: 321

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Text #5

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Data Index: 1151034 (C4 (Web Text))

Max Activating Token Index: 529

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Text #6

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Data Index: 185347 (C4 (Web Text))

Max Activating Token Index: 699

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Text #7

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Data Index: 1102074 (C4 (Web Text))

Max Activating Token Index: 842

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Text #8

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Data Index: 1078841 (C4 (Web Text))

Max Activating Token Index: 653

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Text #9

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Data Index: 996628 (C4 (Web Text))

Max Activating Token Index: 171

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Text #10

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Data Index: 1140814 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1006287 (C4 (Web Text))

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Text #13

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Data Index: 338488 (C4 (Web Text))

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Text #14

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Data Index: 1151790 (C4 (Web Text))

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Text #15

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Data Index: 129489 (C4 (Web Text))

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Text #16

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Data Index: 818262 (C4 (Web Text))

Max Activating Token Index: 882

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Text #17

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Data Index: 1091412 (C4 (Web Text))

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Text #18

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Data Index: 780607 (C4 (Web Text))

Max Activating Token Index: 223

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Text #19

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Data Index: 639210 (C4 (Web Text))

Max Activating Token Index: 668

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