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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. 22478
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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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    No Comments

    Negative Logits
     groom
    -0.75
    epad
    -0.73
    elight
    -0.70
    yip
    -0.70
    opoly
    -0.68
    agher
    -0.67
    weeney
    -0.64
    obook
    -0.63
    puter
    -0.63
     -----
    -0.62
    POSITIVE LOGITS
    interstitial
    0.69
    thumbnails
    0.66
    oÄŁ
    0.66
    anim
    0.66
    breaking
    0.64
    ãģ®é
    0.64
    ea
    0.64
    wr
    0.63
    icum
    0.63
    gravity
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.