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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. 1-RES-JB
    6. 531
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    layer
    -0.79
    ilk
    -0.78
    BuyableInstoreAndOnline
    -0.74
    oplan
    -0.73
    coat
    -0.72
     NI
    -0.72
    puter
    -0.70
    oros
    -0.69
    bors
    -0.67
    eller
    -0.67
    POSITIVE LOGITS
     transition
    0.69
     stopp
    0.68
     flair
    0.64
    berra
    0.60
     skew
    0.60
     difference
    0.60
     miracle
    0.60
    eless
    0.59
     transitional
    0.59
     recess
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.