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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. 4336
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    INDEX
    Explanations

    the word "whim" at varying degrees of importance or relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of impulsive or arbitrary decisions

    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
    kson
    -0.94
    retty
    -0.82
    és
    -0.78
    sson
    -0.74
    mosp
    -0.73
    IAL
    -0.72
    ial
    -0.72
    ité
    -0.72
    qua
    -0.72
    folios
    -0.72
    POSITIVE LOGITS
    ewitness
    0.72
     Minute
    0.70
     diaper
    0.69
    Pages
    0.68
     cavity
    0.68
     Haram
    0.64
    ibur
    0.63
     whim
    0.63
     inertia
    0.63
     hamstring
    0.62
    Activations Density 0.052%

    No Known Activations