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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. 4-RES-JB
    11. 236
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eret
    -0.83
    afe
    -0.76
    lua
    -0.73
    Finish
    -0.72
    uba
    -0.71
    bia
    -0.69
    iew
    -0.69
    Ey
    -0.68
    iu
    -0.67
    ocrates
    -0.67
    POSITIVE LOGITS
     paths
    0.64
     tastes
    0.64
    ENGTH
    0.62
     ham
    0.61
    UCT
    0.60
     inver
    0.59
    thumbnails
    0.59
    duct
    0.59
    stead
    0.58
     twisting
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.