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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. 4-RES-JB
    11. 9067
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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
    cffff
    -0.88
    uce
    -0.76
    pez
    -0.70
    arnaev
    -0.69
    eni
    -0.69
    vez
    -0.69
    zos
    -0.68
     Parsons
    -0.66
    mberg
    -0.66
    flush
    -0.66
    POSITIVE LOGITS
     Extrem
    0.74
    Rating
    0.72
    Loading
    0.72
    hunt
    0.71
    Chan
    0.69
    Cold
    0.68
    Cong
    0.68
    hun
    0.68
    poke
    0.66
     Catalog
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.