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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. 10070
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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
    estern
    -0.89
    Lear
    -0.69
    inders
    -0.68
     Craw
    -0.65
    aughs
    -0.65
    ikuman
    -0.63
    INA
    -0.62
    INTON
    -0.62
    Master
    -0.61
    elin
    -0.61
    POSITIVE LOGITS
    icago
    0.78
    cially
    0.70
    grass
    0.70
     occupations
    0.69
     ornament
    0.64
     praises
    0.63
     agitation
    0.62
    aurus
    0.62
     busiest
    0.61
    sonian
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.