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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. 9344
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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
     traged
    -0.88
    terness
    -0.83
     largeDownload
    -0.82
     TNT
    -0.75
     skelet
    -0.72
    romeda
    -0.72
     beet
    -0.70
     Ital
    -0.70
    vertisement
    -0.69
     challeng
    -0.69
    POSITIVE LOGITS
    Wire
    0.72
    wire
    0.72
    Mech
    0.64
    Lock
    0.63
    NEWS
    0.62
    QUIRE
    0.60
    NING
    0.60
    ees
    0.60
    hee
    0.59
    coni
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.