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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 13930
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     succeeding
    -0.77
    DragonMagazine
    -0.73
    antine
    -0.73
     undertake
    -0.70
     scrut
    -0.66
     undert
    -0.66
     overseen
    -0.66
    ãĤ¨ãĥ«
    -0.65
     undertook
    -0.64
     airspace
    -0.64
    POSITIVE LOGITS
    double
    0.72
    =>
    0.66
    HI
    0.65
    Loading
    0.64
    positive
    0.64
    podcast
    0.64
    SPA
    0.63
    igma
    0.62
    nz
    0.62
    phe
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.