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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. 11919
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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
    ndra
    -0.83
    flix
    -0.82
    Reloaded
    -0.78
    utic
    -0.76
    ooting
    -0.76
    netflix
    -0.75
    isal
    -0.75
    izu
    -0.73
    akeru
    -0.73
    Study
    -0.73
    POSITIVE LOGITS
     pedals
    0.74
     Celest
    0.68
     RIGHT
    0.68
     Breast
    0.66
     Cycl
    0.66
     receivers
    0.65
     heads
    0.64
     Mouth
    0.63
     Bearing
    0.62
     Vert
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.