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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 643 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 1.0715. Min Act: -0.0000

Data Index: 1602270 (Python Code)

Max Activating Token Index: 923

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Text #1

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Data Index: 1546636 (Python Code)

Max Activating Token Index: 219

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Text #2

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Max Act: 0.8788. Min Act: -0.0000

Data Index: 1517837 (Python Code)

Max Activating Token Index: 969

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Text #3

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Data Index: 1514639 (Python Code)

Max Activating Token Index: 589

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Text #4

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Data Index: 1621491 (Python Code)

Max Activating Token Index: 654

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Text #5

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Data Index: 606145 (C4 (Web Text))

Max Activating Token Index: 824

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Text #6

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Data Index: 1413184 (Python Code)

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Text #7

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Data Index: 185393 (C4 (Web Text))

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Text #8

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Data Index: 1515279 (Python Code)

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Text #9

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Data Index: 1524007 (Python Code)

Max Activating Token Index: 712

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Text #10

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Data Index: 883691 (C4 (Web Text))

Max Activating Token Index: 1001

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Text #11

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Data Index: 1507814 (Python Code)

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Text #12

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Data Index: 1360033 (Python Code)

Max Activating Token Index: 388

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Text #13

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Data Index: 1551053 (Python Code)

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Text #14

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Data Index: 1415011 (Python Code)

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Text #15

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Data Index: 1063434 (C4 (Web Text))

Max Activating Token Index: 67

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Text #16

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Data Index: 1559604 (Python Code)

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Text #17

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Data Index: 1441366 (Python Code)

Max Activating Token Index: 492

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Text #18

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Data Index: 1511699 (Python Code)

Max Activating Token Index: 302

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Text #19

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Max Act: 0.6380. Min Act: -0.0000

Data Index: 121753 (C4 (Web Text))

Max Activating Token Index: 687

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