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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. 2301
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    INDEX
    Explanations
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    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
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    Negative Logits
    aucus
    -0.71
     funnel
    -0.65
     clustered
    -0.62
    DEBUG
    -0.61
     censored
    -0.60
     nightmares
    -0.59
    ILLE
    -0.59
     swallowing
    -0.58
     facet
    -0.57
     waking
    -0.57
    POSITIVE LOGITS
    ée
    0.99
    gments
    0.79
    iquette
    0.79
    Royal
    0.78
    phies
    0.78
    atio
    0.78
    tymology
    0.77
    oard
    0.74
    hement
    0.74
    ilibrium
    0.74
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.