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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 9234
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Coun
    -0.79
    viation
    -0.73
    olesterol
    -0.72
    Adv
    -0.71
    Appearances
    -0.70
    Said
    -0.70
     Defence
    -0.70
    kj
    -0.67
    Ground
    -0.67
     Mouth
    -0.67
    POSITIVE LOGITS
     opted
    0.81
    colored
    0.71
     opting
    0.71
     opt
    0.69
     roasted
    0.62
     regress
    0.62
     curated
    0.62
    zy
    0.62
     este
    0.61
     extinguished
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.