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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. 8916
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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
    Not in Any Lists

    No Comments

    Negative Logits
    fml
    -0.79
    aukee
    -0.77
    agog
    -0.74
    ichever
    -0.66
     Orange
    -0.65
    ocking
    -0.63
     Staples
    -0.63
     Newport
    -0.63
    herry
    -0.63
    OTAL
    -0.63
    POSITIVE LOGITS
    tic
    0.68
     derivative
    0.62
    mask
    0.62
    bach
    0.60
     dh
    0.58
    Rad
    0.58
    Tonight
    0.57
    ../
    0.57
    tal
    0.57
     ben
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.