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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. 5578
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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
     Klu
    -0.79
     Gry
    -0.71
    ullah
    -0.70
     Venezuel
    -0.68
     Fi
    -0.68
     Russians
    -0.68
     Corpus
    -0.67
     Oro
    -0.67
     Mub
    -0.66
     gib
    -0.65
    POSITIVE LOGITS
    ourney
    0.75
    model
    0.75
    icer
    0.73
    elling
    0.73
    teenth
    0.71
    ients
    0.70
    amping
    0.70
    isations
    0.70
    seys
    0.70
    onga
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.