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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. 19625
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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
    xual
    -0.83
     Bezos
    -0.69
    Adult
    -0.68
    lord
    -0.65
    YING
    -0.65
     Spoon
    -0.65
     Alchemist
    -0.62
     Valiant
    -0.61
    stocks
    -0.60
     attachments
    -0.59
    POSITIVE LOGITS
    imar
    0.75
     inaug
    0.69
    idates
    0.67
    emer
    0.66
    iani
    0.65
     chall
    0.64
    perse
    0.64
    eworks
    0.62
     Manhattan
    0.62
    eper
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.