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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. 5-RES-JB
    6. 10154
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    INDEX
    Explanations

    mentions of medical clinics

    oai_token-act-pair · gpt-3.5-turbo

    references to clinics and healthcare facilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sqor
    -0.70
    sum
    -0.67
    lust
    -0.66
     lyr
    -0.65
     Marketable
    -0.65
     quot
    -0.65
    versive
    -0.64
    Reviewer
    -0.64
    lass
    -0.63
    Redd
    -0.62
    POSITIVE LOGITS
    opath
    0.91
     clinics
    0.87
     clinic
    0.86
     Clinic
    0.83
     technician
    0.75
    azor
    0.74
     stalls
    0.74
    oche
    0.73
     facilities
    0.71
     pharmacy
    0.70
    Activations Density 0.023%

    No Known Activations