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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. 9-RES-JB
    11. 5039
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    Explanations

    keyword "Kuala" and related phrases

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.88
    ilial
    -0.84
    ascript
    -0.74
     Qiao
    -0.70
    ources
    -0.66
     inflamm
    -0.62
    س
    -0.61
     Thumbnails
    -0.61
    UCT
    -0.61
     Faw
    -0.61
    POSITIVE LOGITS
     Lumpur
    1.14
    EStream
    0.95
    zie
    0.93
    EStreamFrame
    0.91
    bye
    0.91
    enei
    0.84
    inski
    0.83
    istan
    0.81
    gaard
    0.81
    schild
    0.79
    Activations Density 0.417%

    No Known Activations