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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. 14596
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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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    No Comments

    Negative Logits
    xit
    -0.72
     hashing
    -0.63
     fro
    -0.63
    caster
    -0.62
     realize
    -0.62
     modeling
    -0.62
     refin
    -0.61
    tsky
    -0.61
     apprentice
    -0.60
     ende
    -0.60
    POSITIVE LOGITS
    ëĭ
    0.74
    Gra
    0.70
    mith
    0.70
    ļéĨĴ
    0.65
     Kak
    0.64
    Jump
    0.64
    collection
    0.63
    ĨĴ
    0.62
    Ide
    0.62
     Wolves
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.