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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. 17555
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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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    Negative Logits
    ãĥ¼ãĥĨ
    -0.78
     Howe
    -0.73
     EntityItem
    -0.72
     Telesc
    -0.71
    ptin
    -0.70
     Rib
    -0.69
     Spiegel
    -0.69
    agog
    -0.66
    bral
    -0.66
     Newsp
    -0.66
    POSITIVE LOGITS
    >>>>>>>>
    0.65
    shows
    0.64
     resumes
    0.64
     disaster
    0.62
     considers
    0.60
    anges
    0.60
     patronage
    0.60
     clan
    0.59
     refres
    0.58
     Smile
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.