Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 947 in Layer 0

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Text #0

Max Range: 0.0155. Min Range: -0.0155

Max Act: 0.0155. Min Act: -0.0001

Data Index: 587450 (C4 (Web Text))

Max Activating Token Index: 969

Text #1

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 1482820 (Python Code)

Max Activating Token Index: 229

Text #2

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Max Act: 0.0142. Min Act: -0.0001

Data Index: 631244 (C4 (Web Text))

Max Activating Token Index: 974

Text #3

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Max Act: 0.0137. Min Act: -0.0002

Data Index: 726583 (C4 (Web Text))

Max Activating Token Index: 736

Text #4

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Max Act: 0.0136. Min Act: -0.0002

Data Index: 1579472 (Python Code)

Max Activating Token Index: 372

Text #5

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Max Act: 0.0133. Min Act: -0.0002

Data Index: 1440948 (Python Code)

Max Activating Token Index: 300

Text #6

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Data Index: 1416385 (Python Code)

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Text #7

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Data Index: 1641119 (Python Code)

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Text #8

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Data Index: 1606021 (Python Code)

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Text #9

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Data Index: 1425809 (Python Code)

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Text #10

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Data Index: 1653708 (Python Code)

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Text #11

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Data Index: 1591984 (Python Code)

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Text #12

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Data Index: 1635024 (Python Code)

Max Activating Token Index: 974

Text #13

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Data Index: 1575374 (Python Code)

Max Activating Token Index: 591

Text #14

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Data Index: 1377483 (Python Code)

Max Activating Token Index: 125

Text #15

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 777998 (C4 (Web Text))

Max Activating Token Index: 848

Text #16

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Data Index: 1571730 (Python Code)

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Text #17

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Data Index: 1586382 (Python Code)

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Text #18

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Data Index: 63523 (C4 (Web Text))

Max Activating Token Index: 518

Text #19

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 1635587 (Python Code)

Max Activating Token Index: 413