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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. 17070
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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
    Negative Logits
    eworthy
    -0.80
    ities
    -0.78
    elight
    -0.78
    berra
    -0.75
    wav
    -0.73
     Afgh
    -0.72
    eem
    -0.72
    cious
    -0.70
    alion
    -0.70
    iggurat
    -0.68
    POSITIVE LOGITS
     suppress
    0.68
     braces
    0.66
     voucher
    0.66
    âķIJ
    0.66
    smart
    0.65
     vouchers
    0.64
     loophole
    0.63
    Ev
    0.63
    TPS
    0.62
    idation
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.