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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. 1664
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    Explanations

    phrases and terms related to regulations, policies, and guidelines, specifically regarding tobacco and nicotine products

    oai_token-act-pair · gpt-3.5-turbo

    topics related to regulatory actions and guidelines about electronic cigarettes and tobacco products

    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
     ransom
    -0.94
    ajor
    -0.89
     Assy
    -0.87
     Haitian
    -0.85
    ylum
    -0.85
    array
    -0.84
     Assignment
    -0.83
    Asset
    -0.80
     Klingon
    -0.80
     Pwr
    -0.78
    POSITIVE LOGITS
     cigarettes
    1.94
     smoking
    1.94
     smokers
    1.91
     vaping
    1.91
     cig
    1.90
     cigarette
    1.89
     smoker
    1.86
     nicotine
    1.85
     tobacco
    1.74
     smoked
    1.71
    Activations Density 0.208%

    No Known Activations