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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 1229
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    rences
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    onymous
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    ml
    -0.71
    ML
    -0.70
     largeDownload
    -0.70
    CD
    -0.70
    zsche
    -0.68
    POSITIVE LOGITS
    owed
    0.78
     Vive
    0.71
     fres
    0.69
     Dove
    0.61
     celebr
    0.60
     prophets
    0.60
     Veter
    0.60
     Universities
    0.59
     dro
    0.59
     Nurs
    0.59
    Activations Density 0.000%

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