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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. 0-RES-JB
    6. 6100
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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
    rons
    -0.67
    tones
    -0.65
     compositions
    -0.65
     detachment
    -0.65
    RON
    -0.63
    rity
    -0.62
    owder
    -0.61
     Pratt
    -0.61
     chapters
    -0.60
     Poly
    -0.59
    POSITIVE LOGITS
    taboola
    0.77
    externalActionCode
    0.70
    etheless
    0.69
    cms
    0.67
    othe
    0.66
    mpeg
    0.66
    assetsadobe
    0.65
    weet
    0.65
    "]=>
    0.64
     Cosponsors
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.