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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1750 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.5330. Min Act: -0.0001

Data Index: 551327 (C4 (Web Text))

Max Activating Token Index: 649

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Truncated

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Text #1

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Max Act: 0.4940. Min Act: -0.0001

Data Index: 1284821 (C4 (Web Text))

Max Activating Token Index: 629

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Truncated

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Text #2

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4803. Min Act: -0.0001

Data Index: 268436 (C4 (Web Text))

Max Activating Token Index: 526

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Truncated

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Text #3

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4627. Min Act: -0.0001

Data Index: 427968 (C4 (Web Text))

Max Activating Token Index: 704

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Truncated

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Text #4

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4697. Min Act: -0.0001

Data Index: 312624 (C4 (Web Text))

Max Activating Token Index: 445

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Truncated

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Text #5

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4770. Min Act: -0.0001

Data Index: 795555 (C4 (Web Text))

Max Activating Token Index: 1021

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Truncated

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Text #6

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Max Act: 0.5062. Min Act: -0.0001

Data Index: 130284 (C4 (Web Text))

Max Activating Token Index: 68

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Truncated

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Text #7

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Max Act: 0.4673. Min Act: -0.0001

Data Index: 1353101 (C4 (Web Text))

Max Activating Token Index: 293

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Truncated

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Text #8

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4183. Min Act: -0.0001

Data Index: 1510297 (Python Code)

Max Activating Token Index: 800

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Text #9

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Max Act: 0.4602. Min Act: -0.0001

Data Index: 593777 (C4 (Web Text))

Max Activating Token Index: 895

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Truncated

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Text #10

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Max Act: 0.4714. Min Act: -0.0001

Data Index: 970820 (C4 (Web Text))

Max Activating Token Index: 982

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Truncated

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Text #11

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Max Act: 0.4778. Min Act: -0.0001

Data Index: 54 (C4 (Web Text))

Max Activating Token Index: 882

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Truncated

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Text #12

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Max Act: 0.4535. Min Act: -0.0001

Data Index: 189213 (C4 (Web Text))

Max Activating Token Index: 612

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Text #13

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Max Act: 0.4391. Min Act: -0.0001

Data Index: 1600367 (Python Code)

Max Activating Token Index: 840

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Truncated

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Text #14

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Max Act: 0.4671. Min Act: -0.0001

Data Index: 1165238 (C4 (Web Text))

Max Activating Token Index: 750

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Text #15

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Max Act: 0.4659. Min Act: -0.0001

Data Index: 808628 (C4 (Web Text))

Max Activating Token Index: 519

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Truncated

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Text #16

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4603. Min Act: -0.0001

Data Index: 1084725 (C4 (Web Text))

Max Activating Token Index: 556

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Truncated

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Text #17

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4507. Min Act: -0.0001

Data Index: 876712 (C4 (Web Text))

Max Activating Token Index: 278

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Text #18

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4256. Min Act: -0.0001

Data Index: 1250007 (C4 (Web Text))

Max Activating Token Index: 881

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Truncated

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Text #19

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Max Act: 0.4550. Min Act: -0.0001

Data Index: 271785 (C4 (Web Text))

Max Activating Token Index: 181

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