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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. 5205
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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
    eval
    -0.76
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.72
    ————————
    -0.70
    hound
    -0.70
    attery
    -0.69
     Scully
    -0.68
    ————
    -0.68
     Walters
    -0.67
    bane
    -0.66
    phe
    -0.66
    POSITIVE LOGITS
    erve
    0.70
     Ethiop
    0.68
     Meridian
    0.67
     Brothers
    0.65
    orde
    0.64
     iceberg
    0.62
     annex
    0.62
     migrant
    0.62
     retirees
    0.60
     cs
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.