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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. 11-RES-JB
    11. 6205
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    Explanations

    references to luxurious and high-quality lifestyles

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to lifestyle and living standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.86
    essee
    -0.76
    aneously
    -0.76
     bluff
    -0.74
     pus
    -0.71
    aneous
    -0.71
    umo
    -0.70
    ewater
    -0.65
    zynski
    -0.65
    master
    -0.64
    POSITIVE LOGITS
     expectancy
    1.04
     habits
    0.91
     lifestyle
    0.87
     amenities
    0.85
     choices
    0.85
     lifestyles
    0.84
     satisfaction
    0.80
     pursuits
    0.76
     pleasures
    0.74
     essentials
    0.73
    Activations Density 0.138%

    No Known Activations