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    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. 19034
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    INDEX
    Explanations
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    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
    hend
    -0.73
    Versions
    -0.73
    Chan
    -0.71
    soType
    -0.70
     Cheng
    -0.65
    KEY
    -0.64
    ween
    -0.63
    \<
    -0.62
    TPP
    -0.62
     Guang
    -0.61
    POSITIVE LOGITS
    bilt
    0.81
    acus
    0.73
     childbirth
    0.68
     curve
    0.67
     Prometheus
    0.66
    urrection
    0.64
    hower
    0.63
     Diesel
    0.62
     Hers
    0.60
    iggurat
    0.60
    Activations Density 0.000%

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