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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. 353
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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
    UGH
    -0.87
    ISO
    -0.82
    mire
    -0.82
    IRE
    -0.80
    Minimum
    -0.78
    WAYS
    -0.74
    tackle
    -0.73
    escription
    -0.71
    Ru
    -0.70
    eur
    -0.69
    POSITIVE LOGITS
     birthplace
    0.69
    assis
    0.69
    reditary
    0.68
     Holocaust
    0.68
    ulkan
    0.64
    manent
    0.64
     casualty
    0.62
    uated
    0.59
     Mong
    0.59
     coffin
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.