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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. 3239
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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
    Not in Any Lists

    No Comments

    Negative Logits
    ocal
    -0.76
     largeDownload
    -0.73
    ERY
    -0.68
    rock
    -0.68
    ussy
    -0.66
    otide
    -0.64
    earable
    -0.64
    SourceFile
    -0.63
    SOURCE
    -0.63
     Chemical
    -0.61
    POSITIVE LOGITS
    kes
    0.74
    onal
    0.68
    manship
    0.65
     Reborn
    0.63
    bits
    0.62
    oké
    0.61
    kens
    0.60
     distribut
    0.60
     Kamp
    0.60
     thereto
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.