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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. 9080
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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
    obin
    -0.71
    flat
    -0.71
     lin
    -0.68
     clay
    -0.67
    ogene
    -0.66
    eeds
    -0.63
     doc
    -0.62
    phant
    -0.62
     Dharma
    -0.62
    este
    -0.61
    POSITIVE LOGITS
    bryce
    0.83
     mathemat
    0.82
    ĸļ
    0.77
    EStreamFrame
    0.74
    externalActionCode
    0.71
    '>
    0.68
     Cunning
    0.67
     CARD
    0.67
    ModLoader
    0.67
    alan
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.