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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. 1-RES-JB
    6. 12069
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    utm
    -0.82
    tesy
    -0.73
    ieu
    -0.67
    és
    -0.67
    )=(
    -0.67
     maternity
    -0.67
    ayan
    -0.65
    aching
    -0.64
    iasm
    -0.64
     bicy
    -0.63
    POSITIVE LOGITS
     ................
    0.79
     Spears
    0.66
     Despair
    0.62
    -+-+
    0.62
    Press
    0.61
     Kappa
    0.61
     moderator
    0.60
    inguished
    0.59
    ZZ
    0.59
    istani
    0.59
    Activations Density 0.000%

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