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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. 11027
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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
    tf
    -0.74
    py
    -0.70
    Lenin
    -0.69
    Self
    -0.63
     firsthand
    -0.62
     proceeds
    -0.62
    encing
    -0.62
    iste
    -0.61
    Already
    -0.61
    boxing
    -0.60
    POSITIVE LOGITS
    eatures
    0.79
     Hawk
    0.72
    actionDate
    0.68
     oun
    0.64
     Magnum
    0.61
     Tempest
    0.60
    unct
    0.60
     Naj
    0.60
     Ori
    0.60
     Accuracy
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.