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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. 14111
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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
    sie
    -0.73
    raltar
    -0.72
    abet
    -0.70
    aea
    -0.69
    />
    -0.69
    ANY
    -0.68
    ardless
    -0.67
    odor
    -0.67
    aly
    -0.67
    Asia
    -0.66
    POSITIVE LOGITS
     Clintons
    0.72
     motivation
    0.71
     killer
    0.67
    ãģ®éŃĶ
    0.67
    ItemThumbnailImage
    0.65
    ogene
    0.64
     mentality
    0.63
     GD
    0.62
     thickness
    0.62
     velocity
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.