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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. 19228
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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
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    No Comments

    Negative Logits
    avers
    -0.77
     suspic
    -0.76
    eria
    -0.74
    erker
    -0.71
    oresc
    -0.70
    uchi
    -0.68
    everal
    -0.67
    piring
    -0.67
     succession
    -0.67
    ucker
    -0.65
    POSITIVE LOGITS
     Surf
    0.73
     Annotations
    0.67
     airs
    0.67
     jails
    0.65
     mirrors
    0.64
    jar
    0.64
     Sadd
    0.63
     Intercept
    0.63
     Sri
    0.62
     Newsletter
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.