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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. 22762
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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
    Not in Any Lists

    No Comments

    Negative Logits
    Alert
    -0.71
     srfAttach
    -0.69
    edom
    -0.68
     catalog
    -0.67
     mathemat
    -0.65
    ophon
    -0.63
    SOURCE
    -0.60
     Haj
    -0.60
    ollen
    -0.60
    MAT
    -0.59
    POSITIVE LOGITS
     NZ
    0.70
    pai
    0.64
     wil
    0.62
    ski
    0.60
     wast
    0.58
    rarily
    0.58
     ah
    0.58
    EStreamFrame
    0.58
    NZ
    0.58
     McGr
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.