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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. 2366
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    Explanations

    phrases that discuss potential or anticipated future events or changes

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of the future

    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
    otto
    -0.73
     Flavoring
    -0.65
    ById
    -0.64
    Sad
    -0.64
    icial
    -0.63
    cest
    -0.63
    oaded
    -0.62
    apego
    -0.62
    iquette
    -0.61
    yrics
    -0.61
    POSITIVE LOGITS
     generations
    1.00
     tense
    0.90
     installments
    0.85
     iterations
    0.83
    isphere
    0.77
     iteration
    0.73
     ende
    0.73
     editions
    0.71
     onwards
    0.69
    noon
    0.69
    Activations Density 0.023%

    No Known Activations