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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. 5829
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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
    ignt
    -0.78
    yss
    -0.67
    anas
    -0.65
    opter
    -0.64
    ennis
    -0.63
    Scale
    -0.62
    uthor
    -0.61
    Context
    -0.61
    Mir
    -0.60
    orous
    -0.59
    POSITIVE LOGITS
     Hawai
    0.74
    glers
    0.68
     Staten
    0.67
    ASHINGTON
    0.64
     FDR
    0.63
    kefeller
    0.63
     Weiner
    0.60
     Manufacturer
    0.60
     Papa
    0.59
    çī
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.