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    1. Home
    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 7684
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yle
    -0.79
    selves
    -0.79
    ilee
    -0.76
    ILE
    -0.72
    mitt
    -0.72
    lished
    -0.72
    ftime
    -0.71
    SPONSORED
    -0.69
    lyak
    -0.67
    lihood
    -0.67
    POSITIVE LOGITS
    acs
    0.61
     condensed
    0.60
     traces
    0.60
     Carbuncle
    0.58
     entries
    0.58
     confinement
    0.57
     entry
    0.57
     irresist
    0.57
     breaths
    0.56
     spreads
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.