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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. 3-RES-JB
    11. 3218
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Customer
    -0.70
    orkshire
    -0.67
     Customer
    -0.67
    uu
    -0.64
    bring
    -0.63
     slic
    -0.63
     customer
    -0.62
    encer
    -0.62
     backstage
    -0.61
     screenings
    -0.61
    POSITIVE LOGITS
     Moving
    0.67
     governs
    0.65
    toggle
    0.65
    portion
    0.64
     Indra
    0.63
     diseng
    0.63
    OLOGY
    0.61
     DeVos
    0.61
     Kush
    0.59
    hoff
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.