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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. 9-RES-JB
    6. 608
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    Explanations

    country names or other geopolitical entities in conjunction with specific organizations, newspapers, or currencies

    oai_token-act-pair · gpt-3.5-turbo

    the word "and" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elle
    -0.76
    IGHTS
    -0.74
    rimination
    -0.74
    Both
    -0.71
    Based
    -0.70
    iciary
    -0.70
    istical
    -0.69
    ogy
    -0.69
    ugi
    -0.69
    wic
    -0.68
    POSITIVE LOGITS
     others
    0.83
     even
    0.77
     perhaps
    0.77
     etc
    0.76
     hence
    0.75
     possibly
    0.74
     assorted
    0.73
     perennial
    0.69
    chard
    0.69
     elsewhere
    0.69
    Activations Density 0.223%

    No Known Activations