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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. 3-RES-JB
    11. 3966
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Grimm
    -0.80
     Asgard
    -0.76
    ersive
    -0.75
    achev
    -0.72
    bidden
    -0.71
     Ogre
    -0.71
    itis
    -0.71
     Yanukovych
    -0.71
    ueller
    -0.68
    atically
    -0.66
    POSITIVE LOGITS
     stocking
    0.73
    rug
    0.71
     nurs
    0.69
    ccording
    0.67
     corrid
    0.67
    oan
    0.65
    Ĥª
    0.65
     childbirth
    0.64
    abies
    0.62
    Ry
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.