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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. 0-RES-JB
    6. 19025
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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
    Negative Logits
    ector
    -0.77
    cher
    -0.74
     Ange
    -0.67
     Mate
    -0.64
     downstream
    -0.64
    ection
    -0.63
    tu
    -0.62
     Chancellor
    -0.61
     Raqqa
    -0.61
    ect
    -0.60
    POSITIVE LOGITS
     series
    1.33
    series
    1.29
     Series
    0.93
    Series
    0.88
    poons
    0.85
    episode
    0.85
    isodes
    0.82
     Pacers
    0.78
     episodes
    0.77
    shows
    0.75
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.