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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. 6-RES-JB
    6. 16513
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Filename
    -0.74
    azaki
    -0.65
    brate
    -0.62
    bal
    -0.61
    rational
    -0.61
    ply
    -0.60
    consumer
    -0.60
    iod
    -0.59
    stic
    -0.59
    β
    -0.58
    POSITIVE LOGITS
     Seym
    0.79
    Ü
    0.74
     shootout
    0.73
    eny
    0.72
    dies
    0.67
    merce
    0.67
    venge
    0.66
     seiz
    0.66
    wic
    0.66
     gentlemen
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.