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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. 6-RES-JB
    6. 20168
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    Explanations

    words related to cleanliness and hygiene

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sanitation and hygiene

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.86
    inez
    -0.83
     Pell
    -0.80
    PsyNetMessage
    -0.76
    NetMessage
    -0.76
    REE
    -0.74
    Publisher
    -0.74
    ilater
    -0.74
    gered
    -0.73
    GS
    -0.73
    POSITIVE LOGITS
    itary
    1.14
     steril
    0.90
     disinfect
    0.88
     hygiene
    0.86
    iencies
    0.84
     linen
    0.79
    liness
    0.77
     san
    0.75
     sterile
    0.73
     precautions
    0.73
    Activations Density 0.038%

    No Known Activations