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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. 1164
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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
    naires
    -0.69
    tty
    -0.68
     onboard
    -0.67
    ilk
    -0.66
     bin
    -0.64
    ti
    -0.62
     Tibetan
    -0.60
    ta
    -0.58
     Loll
    -0.58
    hern
    -0.57
    POSITIVE LOGITS
     Seym
    0.79
    vertisement
    0.76
     defe
    0.76
    DragonMagazine
    0.74
    stood
    0.72
    velength
    0.72
    quartered
    0.71
    Effective
    0.70
    comed
    0.70
    igmatic
    0.70
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.