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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. 2-RES-JB
    11. 14601
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ctor
    -0.93
    igham
    -0.83
    ativity
    -0.80
    :,
    -0.76
    ocus
    -0.72
    icals
    -0.72
    elfare
    -0.71
    ctors
    -0.69
    annabin
    -0.68
    inator
    -0.68
    POSITIVE LOGITS
     questioning
    0.71
     volleyball
    0.69
     millenn
    0.68
     Toast
    0.68
     captivity
    0.67
     craving
    0.66
     uncont
    0.64
     scraping
    0.63
     nudity
    0.63
     hatch
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.