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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. 18347
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    Explanations

    descriptions related to visual observations

    oai_token-act-pair · gpt-3.5-turbo

    instances of repetitive structures or patterns in descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ominated
    -0.65
    ãĥĥãĥī
    -0.62
    ĨĴ
    -0.60
    Need
    -0.59
     Chapters
    -0.56
    Regular
    -0.56
    ologies
    -0.55
    Category
    -0.55
    Daddy
    -0.54
    Come
    -0.53
    POSITIVE LOGITS
     Photograph
    0.98
    window
    0.95
     photographed
    0.92
     photograph
    0.90
     photo
    0.89
     Shutterstock
    0.89
     PHOTO
    0.86
     REUTERS
    0.85
     Flickr
    0.85
     Photo
    0.84
    Activations Density 0.517%

    No Known Activations