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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. 0-RES-JB
    11. 6468
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cumm
    -0.75
     Ye
    -0.74
     Meow
    -0.74
    UA
    -0.71
    ãĤ¦ãĤ¹
    -0.70
    ilater
    -0.66
    CHA
    -0.64
     Yog
    -0.64
    heast
    -0.63
     BG
    -0.63
    POSITIVE LOGITS
    isoft
    0.72
    wagen
    0.71
    Catalog
    0.70
     convertible
    0.68
    icas
    0.64
    meter
    0.64
    gard
    0.63
    visor
    0.63
    bilt
    0.63
    vantage
    0.62
    Activations Density 0.000%

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