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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. 15573
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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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    No Comments

    Negative Logits
    unci
    -0.80
    agic
    -0.78
    oslav
    -0.77
    cious
    -0.75
     Vend
    -0.73
     Shank
    -0.72
    rir
    -0.72
    ask
    -0.71
     Alban
    -0.69
    laus
    -0.68
    POSITIVE LOGITS
     largeDownload
    0.81
    CR
    0.70
    Arcade
    0.66
    ãĥīãĥ©ãĤ´ãĥ³
    0.65
    使
    0.64
     COUR
    0.62
    æĪ¦
    0.62
     chimpanzees
    0.60
     marks
    0.59
     respectively
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.