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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. 6821
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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
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    Negative Logits
    heed
    -0.99
    Closure
    -0.91
    issance
    -0.91
    Customer
    -0.87
    inse
    -0.80
    thood
    -0.79
    ilic
    -0.78
    qus
    -0.75
    merce
    -0.74
    -----------
    -0.73
    POSITIVE LOGITS
     nucleus
    0.71
     seiz
    0.69
     microphones
    0.69
     skulls
    0.68
     cort
    0.68
     brains
    0.66
     alarms
    0.65
     Icar
    0.65
     Bett
    0.65
     veins
    0.64
    Activations Density 0.000%

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