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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. 18418
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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
    Not in Any Lists

    No Comments

    Negative Logits
     specialization
    -0.73
    coe
    -0.65
    è¡
    -0.63
    mble
    -0.62
     indebted
    -0.62
    ĸļ
    -0.62
     unaff
    -0.61
    çIJ
    -0.60
     organisation
    -0.59
    æĺ
    -0.58
    POSITIVE LOGITS
    eat
    0.75
    emi
    0.74
    empt
    0.73
    vision
    0.72
    ItemThumbnailImage
    0.71
     Olson
    0.70
    hap
    0.70
    agically
    0.68
    eries
    0.68
    abl
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.