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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. 1-RES-JB
    11. 21979
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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
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    Negative Logits
     Rockies
    -0.67
    appings
    -0.66
    addon
    -0.63
     ca
    -0.61
     symp
    -0.61
     moves
    -0.59
     âĢİ
    -0.59
     sclerosis
    -0.59
     recomm
    -0.58
     Hill
    -0.57
    POSITIVE LOGITS
    rf
    0.75
    ombat
    0.74
    fg
    0.71
    gage
    0.71
     [+
    0.69
    ggle
    0.69
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.68
    sembly
    0.67
    hazard
    0.67
    payer
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.