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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. 1-RES-JB
    6. 13591
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pg
    -0.83
    erella
    -0.82
    eenth
    -0.81
    AppData
    -0.74
    answered
    -0.71
    furt
    -0.71
    MORE
    -0.69
    iably
    -0.69
    apon
    -0.68
     guiActiveUn
    -0.68
    POSITIVE LOGITS
     Brus
    0.69
    mu
    0.67
     variation
    0.64
     STL
    0.63
     variance
    0.61
     vector
    0.60
     pastoral
    0.59
     ops
    0.59
     fragmentation
    0.58
     vectors
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.