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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. 1-RES-JB
    11. 9442
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    vu
    -0.67
     durable
    -0.66
     visc
    -0.65
    terday
    -0.61
     choking
    -0.61
     calming
    -0.59
    uchs
    -0.58
     easing
    -0.58
     graduating
    -0.57
     decriminal
    -0.56
    POSITIVE LOGITS
    mented
    0.72
    ventus
    0.70
     Canary
    0.69
    irlf
    0.68
    lyak
    0.68
     Wonderland
    0.65
     dun
    0.65
    FML
    0.65
    ittens
    0.65
    bench
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.