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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. 7002
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    Explanations

    mentions of kitchen-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to kitchens and kitchen-related elements

    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
     Trooper
    -0.77
    ullah
    -0.75
    idas
    -0.72
    ioxide
    -0.68
    inates
    -0.68
    Reviewer
    -0.68
     Iss
    -0.67
    âĢ¢âĢ¢
    -0.66
    reon
    -0.66
    orb
    -0.64
    POSITIVE LOGITS
     sink
    0.95
    ware
    0.93
    washer
    0.92
     cabinets
    0.92
     appliances
    0.90
     appliance
    0.87
     remod
    0.85
    ette
    0.85
     kitchens
    0.83
     knives
    0.82
    Activations Density 0.048%

    No Known Activations