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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. 12-RES-JB
    11. 4994
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
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    captions related to visual media and images

    oai_token-act-pair · gpt-4o-mini
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    romy
    -0.62
    vik
    -0.59
    cknow
    -0.57
     withd
    -0.56
     seiz
    -0.56
     tyr
    -0.56
     disg
    -0.56
    ounty
    -0.55
     corrid
    -0.55
    terday
    -0.54
    POSITIVE LOGITS
     Close
    1.09
     Thumbnails
    0.65
     largeDownload
    0.61
    essing
    0.60
    thumbnails
    0.60
    taboola
    0.58
     Fighters
    0.57
     Quarter
    0.56
     Style
    0.56
     Parameters
    0.55
    Activations Density 0.003%

    No Known Activations