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

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

Neuron 2266 in Layer 3

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: 0.1197. Min Act: -0.0001

Data Index: 590438 (C4 (Web Text))

Max Activating Token Index: 103

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Text #1

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Max Act: 0.1147. Min Act: -0.0001

Data Index: 1562033 (Python Code)

Max Activating Token Index: 1008

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Text #2

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Max Act: 0.1116. Min Act: -0.0001

Data Index: 269908 (C4 (Web Text))

Max Activating Token Index: 692

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Text #3

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Max Act: 0.1093. Min Act: -0.0001

Data Index: 694339 (C4 (Web Text))

Max Activating Token Index: 537

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Text #4

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Data Index: 690846 (C4 (Web Text))

Max Activating Token Index: 802

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Text #5

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Data Index: 184053 (C4 (Web Text))

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Text #6

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Data Index: 1330389 (C4 (Web Text))

Max Activating Token Index: 470

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Text #7

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Text #8

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Data Index: 482639 (C4 (Web Text))

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Text #9

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Data Index: 484602 (C4 (Web Text))

Max Activating Token Index: 745

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Text #10

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Text #11

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Text #12

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Data Index: 833247 (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: 102075 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 908429 (C4 (Web Text))

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Text #18

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Data Index: 1043545 (C4 (Web Text))

Max Activating Token Index: 359

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Text #19

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Data Index: 828627 (C4 (Web Text))

Max Activating Token Index: 437

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