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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. 21315
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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
    oner
    -0.73
    azaar
    -0.70
    forth
    -0.70
     infall
    -0.62
    hops
    -0.62
    outine
    -0.60
    atom
    -0.59
     unemploy
    -0.59
    OTA
    -0.58
    lins
    -0.58
    POSITIVE LOGITS
     Tradable
    0.71
    enthal
    0.64
     Marketable
    0.63
     mileage
    0.63
    446
    0.62
    herty
    0.62
     ABE
    0.61
    xual
    0.60
    cean
    0.60
     Nid
    0.60
    Activations Density 0.000%

    No Known Activations

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