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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. 8-RES-JB
    11. 17797
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    Explanations

    references to items related to cooking or food preparation

    oai_token-act-pair · gpt-3.5-turbo

    references to food and cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.65
    inus
    -0.65
    MpServer
    -0.64
    URI
    -0.61
    itled
    -0.59
    Original
    -0.57
     summed
    -0.57
    usive
    -0.57
     Talent
    -0.56
    reys
    -0.55
    POSITIVE LOGITS
     everyday
    1.05
     shelf
    0.87
     kitchens
    0.84
     shelves
    0.83
     Everyday
    0.82
     classrooms
    0.82
     fridge
    0.79
     landfill
    0.76
     cabinets
    0.76
     fireplace
    0.74
    Activations Density 0.953%

    No Known Activations