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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9456
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    jri
    -0.97
    ernandez
    -0.72
     spilled
    -0.67
    ickr
    -0.66
     imperson
    -0.66
    isman
    -0.65
    steen
    -0.65
     Franco
    -0.64
    olicy
    -0.63
    avorite
    -0.63
    POSITIVE LOGITS
    oral
    0.73
     Introdu
    0.71
     introduces
    0.68
    Alpha
    0.66
     Receiver
    0.65
     Tasman
    0.62
    ë
    0.61
     Tenn
    0.61
     Sabha
    0.60
    nes
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.