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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. 24189
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    Explanations

    terms related to different aspects of technology, such as action, money, optics, economic sanctions, institutional learning, visionary scripts, computational complexity, user-friendliness, core processing resources, CPU, IDE drive, technology, spending, cultural groups, management efficiency, regulatory compliance, environmental conditions, growth,

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to action, economics, and technology

    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
    DonaldTrump
    -0.81
    uckland
    -0.77
    amily
    -0.72
    ģĸ
    -0.72
    odcast
    -0.70
    yip
    -0.69
    ccording
    -0.65
    izon
    -0.65
    lehem
    -0.63
    buquerque
    -0.62
    POSITIVE LOGITS
     alike
    1.17
     versa
    0.98
     accordingly
    0.85
     thereof
    0.82
     thereto
    0.77
     agendas
    0.75
     opportunities
    0.74
     consequ
    0.73
     respectively
    0.68
     habits
    0.67
    Activations Density 0.572%

    No Known Activations