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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. 2-RES-JB
    6. 4695
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     sweats
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     Wester
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     belts
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     personalities
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     tast
    -0.63
     Kry
    -0.62
     conco
    -0.61
     Sask
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     toast
    -0.60
    POSITIVE LOGITS
    parser
    0.71
     Cantor
    0.70
    finder
    0.69
    itely
    0.69
    OTO
    0.69
    udi
    0.68
    ]:
    0.67
    ktop
    0.66
    xp
    0.65
    eret
    0.65
    Activations Density 0.000%

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