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

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

Neuron 1128 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

Max Range: 0.1365. Min Range: -0.1365

Max Act: 0.1365. Min Act: -0.0000

Data Index: 593933 (C4 (Web Text))

Max Activating Token Index: 622

Text #1

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Max Act: 0.1156. Min Act: -0.0001

Data Index: 573440 (C4 (Web Text))

Max Activating Token Index: 330

Text #2

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Max Act: 0.0130. Min Act: 0.0000

Data Index: 1512267 (Python Code)

Max Activating Token Index: 545

Text #3

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Max Act: 0.0139. Min Act: 0.0000

Data Index: 1484340 (Python Code)

Max Activating Token Index: 707

Text #4

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Max Act: 0.0131. Min Act: -0.0000

Data Index: 1510788 (Python Code)

Max Activating Token Index: 436

Text #5

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Max Act: 0.0121. Min Act: 0.0000

Data Index: 1379912 (Python Code)

Max Activating Token Index: 556

Text #6

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Max Act: 0.0114. Min Act: -0.0000

Data Index: 1585109 (Python Code)

Max Activating Token Index: 435

Text #7

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Max Act: 0.0118. Min Act: 0.0000

Data Index: 1549247 (Python Code)

Max Activating Token Index: 572

Text #8

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Max Act: 0.0115. Min Act: 0.0000

Data Index: 1623911 (Python Code)

Max Activating Token Index: 580

Text #9

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Max Act: 0.0115. Min Act: 0.0000

Data Index: 1650586 (Python Code)

Max Activating Token Index: 533

Text #10

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Max Act: 0.0118. Min Act: -0.0000

Data Index: 1612170 (Python Code)

Max Activating Token Index: 526

Text #11

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Max Act: 0.0113. Min Act: -0.0000

Data Index: 873064 (C4 (Web Text))

Max Activating Token Index: 483

Text #12

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Max Act: 0.0121. Min Act: 0.0000

Data Index: 1549825 (Python Code)

Max Activating Token Index: 517

Text #13

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Data Index: 1387551 (Python Code)

Max Activating Token Index: 418

Text #14

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Max Act: 0.0112. Min Act: -0.0000

Data Index: 1509020 (Python Code)

Max Activating Token Index: 463

Text #15

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Max Act: 0.0112. Min Act: 0.0000

Data Index: 1559094 (Python Code)

Max Activating Token Index: 701

Text #16

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Max Act: 0.0119. Min Act: 0.0000

Data Index: 1469799 (Python Code)

Max Activating Token Index: 500

Text #17

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Data Index: 1657067 (Python Code)

Max Activating Token Index: 433

Text #18

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Max Act: 0.0110. Min Act: -0.0000

Data Index: 1488169 (Python Code)

Max Activating Token Index: 549

Text #19

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Max Act: 0.0109. Min Act: 0.0000

Data Index: 1403027 (Python Code)

Max Activating Token Index: 432