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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14279
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    Explanations

    mentions of kitchen-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to kitchens and kitchen-related settings or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idas
    -0.76
     Trooper
    -0.74
    Reviewer
    -0.74
     Byrne
    -0.71
    ean
    -0.70
     Bonds
    -0.70
     Iss
    -0.69
    reon
    -0.68
    ioxide
    -0.68
     Territories
    -0.66
    POSITIVE LOGITS
     appliances
    1.09
     appliance
    1.03
     sink
    1.02
     cabinets
    1.01
     knives
    0.97
     stove
    0.97
    ware
    0.97
    ette
    0.96
     cooks
    0.96
    washer
    0.95
    Activations Density 0.050%

    No Known Activations