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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. 0-RES-JB
    11. 6653
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otin
    -0.76
    ysis
    -0.69
    crop
    -0.66
     juven
    -0.66
    Mot
    -0.64
     rug
    -0.62
     Flavoring
    -0.62
     lett
    -0.61
    gered
    -0.61
    stead
    -0.60
    POSITIVE LOGITS
    Crew
    0.76
    hack
    0.75
    \-
    0.71
    elta
    0.70
    ubuntu
    0.70
    auder
    0.64
    rounder
    0.63
    ãĢij
    0.63
    arcity
    0.60
    extreme
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.