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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. 22649
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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
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    No Comments

    Negative Logits
    ãĤ£
    -0.91
    ILA
    -0.87
    nces
    -0.85
    ÃįÃį
    -0.75
    cling
    -0.75
    å¤
    -0.72
    åº
    -0.71
    ãĤ¦ãĤ¹
    -0.70
    ById
    -0.68
    OAD
    -0.68
    POSITIVE LOGITS
    stadt
    0.68
    lab
    0.67
    sych
    0.66
    tek
    0.65
     mustard
    0.63
    db
    0.61
     Je
    0.60
    hello
    0.60
    pb
    0.60
    hai
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.