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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. 22497
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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
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    No Comments

    Negative Logits
     staples
    -0.80
    selves
    -0.73
    THING
    -0.72
     watered
    -0.68
     concepts
    -0.68
     chants
    -0.66
    ļé
    -0.65
     cycles
    -0.65
     pickups
    -0.64
    izoph
    -0.63
    POSITIVE LOGITS
    combe
    0.84
    azo
    0.80
    rection
    0.77
    elson
    0.77
    veland
    0.75
    quant
    0.75
    ãĥ¼ãĥ³
    0.74
    comb
    0.74
    icion
    0.71
    pport
    0.71
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.