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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. 8-RES-JB
    6. 17985
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    Explanations

    phrases related to specific events or medical conditions like fundraising events, fevers, bail orders, central government, passed balls, outside sources, haunted houses, blood-borne diseases, mass graves, late calls, transitional periods, legal counsel, halfway houses, rubber spatulas, early bird prices, floor prices

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to health, disease, and medical-related issues

    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
    urches
    -0.79
    ernels
    -0.78
    rencies
    -0.76
     Machines
    -0.75
    rooms
    -0.72
    sites
    -0.68
    casts
    -0.68
    reddits
    -0.67
     subreddits
    -0.66
    brids
    -0.66
    POSITIVE LOGITS
     standpoint
    0.89
     regimen
    0.67
    etermined
    0.63
     swath
    0.62
     breeze
    0.61
     colleague
    0.61
     perspective
    0.60
    essment
    0.60
     arrangement
    0.60
     timer
    0.60
    Activations Density 1.064%

    No Known Activations