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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. 3-RES-JB
    6. 14613
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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
     Canberra
    -0.69
    ModLoader
    -0.69
    REL
    -0.67
    velength
    -0.67
     gig
    -0.66
     RTX
    -0.64
     fastball
    -0.64
     Lesbian
    -0.64
     Kushner
    -0.63
     Epstein
    -0.62
    POSITIVE LOGITS
    artifacts
    0.92
    conom
    0.80
    utch
    0.79
    aks
    0.75
    nov
    0.71
    progress
    0.68
    ;;;;;;;;;;;;
    0.68
    },"
    0.65
    humane
    0.65
    axter
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.