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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. 10730
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    Explanations

    settings or features related to different modes of operation within a system

    oai_token-act-pair · gpt-3.5-turbo

    terms related to modes or settings in a technical or gameplay context

    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
    owan
    -0.77
    mony
    -0.75
    roma
    -0.72
     Aires
    -0.71
    enegger
    -0.71
    bones
    -0.70
    riad
    -0.68
    ä½ľ
    -0.68
    enda
    -0.68
    mong
    -0.65
    POSITIVE LOGITS
     Shift
    0.76
     mode
    0.73
    quit
    0.73
    etting
    0.71
     upgr
    0.70
     enabled
    0.68
     Mode
    0.65
     Mayhem
    0.63
     reversal
    0.63
     selector
    0.63
    Activations Density 0.017%

    No Known Activations