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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. 3553
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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
    EStreamFrame
    -0.79
    Forward
    -0.70
    kus
    -0.69
     Tycoon
    -0.66
     Pros
    -0.64
    Buy
    -0.64
    Sense
    -0.64
    leness
    -0.64
    hiba
    -0.63
    vre
    -0.63
    POSITIVE LOGITS
    ctuary
    1.01
    bryce
    0.73
    BLIC
    0.63
    nah
    0.62
    hement
    0.61
    [_
    0.61
    uled
    0.61
    requ
    0.60
    oubt
    0.60
    issa
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.