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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. 7260
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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
     Mul
    -0.74
    sbm
    -0.65
    forums
    -0.63
     Alam
    -0.60
     Sunset
    -0.59
     Surv
    -0.58
     Jung
    -0.57
     Subcommittee
    -0.57
     Hulu
    -0.56
    vered
    -0.55
    POSITIVE LOGITS
    iability
    0.92
    isable
    0.80
    iable
    0.77
    asy
    0.75
    rament
    0.73
    ipation
    0.73
    itar
    0.72
    catentry
    0.71
    ittle
    0.70
    iably
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.