Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2038 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Max Act: 0.0394. Min Act: -0.0003
Data Index: 1358304 (C4 (Web Text))
Max Activating Token Index: 933
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Text #1
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Data Index: 872562 (C4 (Web Text))
Max Activating Token Index: 1014
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Text #2
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Max Act: 0.0372. Min Act: -0.0003
Data Index: 1340760 (C4 (Web Text))
Max Activating Token Index: 469
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Text #3
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Data Index: 945605 (C4 (Web Text))
Max Activating Token Index: 525
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Text #4
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Max Act: 0.0342. Min Act: -0.0003
Data Index: 1198559 (C4 (Web Text))
Max Activating Token Index: 646
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Text #5
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Data Index: 656431 (C4 (Web Text))
Max Activating Token Index: 1019
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Text #6
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Data Index: 47439 (C4 (Web Text))
Max Activating Token Index: 612
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Text #7
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Data Index: 421132 (C4 (Web Text))
Max Activating Token Index: 62
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Full Text #7
Text #8
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Data Index: 469228 (C4 (Web Text))
Max Activating Token Index: 62
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Text #9
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Data Index: 588435 (C4 (Web Text))
Max Activating Token Index: 433
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Text #10
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Data Index: 876996 (C4 (Web Text))
Max Activating Token Index: 32
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Full Text #10
Text #11
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Data Index: 615224 (C4 (Web Text))
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Text #12
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Data Index: 1323322 (C4 (Web Text))
Max Activating Token Index: 215
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Text #13
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Data Index: 524698 (C4 (Web Text))
Max Activating Token Index: 969
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Text #14
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Data Index: 364917 (C4 (Web Text))
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Text #15
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Data Index: 998939 (C4 (Web Text))
Max Activating Token Index: 499
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Text #16
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Data Index: 603595 (C4 (Web Text))
Max Activating Token Index: 116
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Text #17
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Max Act: 0.0314. Min Act: -0.0003
Data Index: 264297 (C4 (Web Text))
Max Activating Token Index: 890
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Text #18
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Data Index: 1146026 (C4 (Web Text))
Max Activating Token Index: 956
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Text #19
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Data Index: 442050 (C4 (Web Text))
Max Activating Token Index: 358
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