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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. 20167
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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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    No Comments

    Negative Logits
    ĸļ
    -0.72
     Millenn
    -0.65
     Herz
    -0.65
     457
    -0.61
    unknown
    -0.60
     Jerusalem
    -0.59
     haunted
    -0.59
     respons
    -0.59
     Hilton
    -0.58
     BIOS
    -0.58
    POSITIVE LOGITS
    atory
    0.98
    ļ
    0.93
    atories
    0.84
    swick
    0.80
    ogy
    0.80
    roth
    0.79
    nton
    0.78
    opes
    0.77
    lain
    0.75
    lock
    0.74
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.