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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. 11-RES-JB
    6. 19072
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    Explanations

    numbers related to specific quantities or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Redditor
    -0.76
    vec
    -0.61
    tainment
    -0.61
    amaru
    -0.60
    orney
    -0.59
    dden
    -0.59
    dinand
    -0.59
    founded
    -0.59
    ãĥ¼ãĥ«
    -0.58
    iannopoulos
    -0.58
    POSITIVE LOGITS
     of
    1.23
     separate
    1.09
     different
    1.08
     consecutive
    1.07
     occasions
    1.02
     other
    1.02
     successive
    1.02
     instances
    0.97
    of
    0.91
    Of
    0.89
    Activations Density 0.209%

    No Known Activations