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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. 17938
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    Explanations

    specific mentions of days, months, and years within a document

    oai_token-act-pair · gpt-3.5-turbo

    temporal references regarding years and days

    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
     packaging
    -0.65
     Unch
    -0.65
    ufact
    -0.61
     recy
    -0.58
    UTF
    -0.57
    apons
    -0.57
     ple
    -0.56
    onite
    -0.55
    ĨĴ
    -0.55
    alth
    -0.55
    POSITIVE LOGITS
    endment
    0.77
    shire
    0.69
     Amendments
    0.63
    sol
    0.63
     Outlook
    0.62
    )--
    0.60
    stroke
    0.59
     GMT
    0.59
     thereafter
    0.59
    ,.
    0.58
    Activations Density 0.425%

    No Known Activations