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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. 3-RES-JB
    11. 18591
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UD
    -0.72
    HR
    -0.71
    ICES
    -0.70
    RW
    -0.65
    CNN
    -0.65
    VICE
    -0.64
    KB
    -0.63
    etheless
    -0.62
    æĺ
    -0.60
    NVIDIA
    -0.60
    POSITIVE LOGITS
    romeda
    1.10
    ersen
    0.90
    rogens
    0.87
     consequently
    0.87
    rogen
    0.87
    rew
    0.85
     secondly
    0.83
     then
    0.82
    alus
    0.82
     therefore
    0.79
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.