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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. 19872
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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
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    No Comments

    Negative Logits
    ItemTracker
    -0.82
    requency
    -0.78
    illin
    -0.73
    arching
    -0.72
    scan
    -0.69
    chlor
    -0.69
    wana
    -0.69
    uka
    -0.68
    ãĤ®
    -0.68
     Commodore
    -0.68
    POSITIVE LOGITS
     millenn
    0.81
     concede
    0.71
    arent
    0.71
     unden
    0.69
     hug
    0.67
     semblance
    0.65
     gesture
    0.64
     act
    0.63
     sacrific
    0.63
     Estate
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.