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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. 2-RES-JB
    6. 18261
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    vol
    -0.75
     divid
    -0.70
     conver
    -0.68
    umph
    -0.67
    ourge
    -0.67
     circ
    -0.65
    gencies
    -0.64
    och
    -0.63
    vy
    -0.62
    escal
    -0.62
    POSITIVE LOGITS
    >)
    0.71
    OTA
    0.69
    lift
    0.68
    FW
    0.66
    hift
    0.65
    ··
    0.64
    RH
    0.63
     Masters
    0.62
    staking
    0.62
     Canary
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.