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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. 23640
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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
     cryst
    -1.05
     accomp
    -0.80
     surpr
    -0.76
     scrut
    -0.76
     unpop
    -0.75
     Nept
    -0.72
     conduc
    -0.72
     Qiao
    -0.72
     conclud
    -0.70
     comr
    -0.70
    POSITIVE LOGITS
    sorry
    0.77
     Licensed
    0.68
    izations
    0.64
    ANA
    0.62
    ilies
    0.62
    ization
    0.62
    bol
    0.62
    pan
    0.62
    CHA
    0.61
    ibrary
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.