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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. 10400
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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
    bour
    -0.75
    dimension
    -0.75
    rendered
    -0.72
    street
    -0.66
    facing
    -0.66
    uracy
    -0.66
    lease
    -0.63
     Address
    -0.63
    xton
    -0.63
    machine
    -0.63
    POSITIVE LOGITS
     STAR
    0.72
    uten
    0.70
     spoiler
    0.66
    éĹĺ
    0.66
    UGH
    0.66
     odds
    0.66
     SUN
    0.65
     TRUMP
    0.64
     Survivors
    0.64
    inav
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.