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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. 2058
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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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    Negative Logits
     Ancients
    -0.62
     colon
    -0.61
    atomic
    -0.60
     Gutenberg
    -0.59
     Enlightenment
    -0.58
     inoc
    -0.57
    ivably
    -0.57
     enz
    -0.57
    iments
    -0.57
     substit
    -0.57
    POSITIVE LOGITS
    DragonMagazine
    0.87
    BUS
    0.76
    ibur
    0.71
    KY
    0.70
    ELD
    0.70
    inals
    0.69
    Front
    0.68
    ///
    0.68
    ãĥ£
    0.66
    soever
    0.65
    Activations Density 0.000%

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