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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. 22212
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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
    Not in Any Lists

    No Comments

    Negative Logits
    rogens
    -0.78
     contrace
    -0.78
    pas
    -0.77
     paran
    -0.73
    awaru
    -0.73
    netflix
    -0.69
    Abstract
    -0.68
    activ
    -0.67
     guiActiveUn
    -0.66
    Austral
    -0.66
    POSITIVE LOGITS
     Breaker
    0.68
     Rebels
    0.66
     depth
    0.65
     Memor
    0.60
     wings
    0.59
     Cance
    0.59
     lane
    0.58
     Bread
    0.58
     Codec
    0.58
     Typ
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.