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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. 2-RES-JB
    11. 4505
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uyomi
    -0.85
    ItemThumbnailImage
    -0.83
    DIR
    -0.66
    yah
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    Sun
    -0.64
    arden
    -0.64
    anyl
    -0.61
    deen
    -0.60
     Amend
    -0.60
     Cassidy
    -0.59
    POSITIVE LOGITS
    omas
    0.70
    ULTS
    0.69
     impressions
    0.62
    its
    0.60
    illed
    0.60
     ent
    0.59
    smanship
    0.59
     mats
    0.58
    iaries
    0.57
     fitt
    0.56
    Activations Density 0.000%

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