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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. 13739
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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
    ARP
    -0.82
    IRO
    -0.72
     ashes
    -0.71
     Arrow
    -0.70
     Gre
    -0.69
     Reload
    -0.69
     Shards
    -0.66
     Gems
    -0.65
     ANG
    -0.65
     bindings
    -0.65
    POSITIVE LOGITS
    abouts
    0.83
    formation
    0.79
    cision
    0.77
    tle
    0.75
    come
    0.74
    intestinal
    0.73
    street
    0.73
    berman
    0.70
    moral
    0.70
    seek
    0.70
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.