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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. 21410
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    INDEX
    Explanations

    terms related to various objects such as body parts, materials, geographical locations, professions, and technological aspects, with a focus on specific details

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to body parts, medical conditions, and legal or political concepts

    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
    undrum
    -0.67
    agame
    -0.66
    rower
    -0.62
    mble
    -0.61
    pherd
    -0.56
    iasco
    -0.54
    DragonMagazine
    -0.54
    uristic
    -0.53
     Canaver
    -0.53
    yssey
    -0.53
    POSITIVE LOGITS
     shores
    0.61
     emergencies
    0.56
    $.
    0.54
     tissue
    0.54
    bugs
    0.54
     purposes
    0.53
     rivals
    0.53
     donors
    0.52
     institutions
    0.52
    livion
    0.52
    Activations Density 0.920%

    No Known Activations