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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13462
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    Explanations

    mentions of a specific individual named Miller

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to the term "Miller" in a text

    oai_token-act-pair · gpt-3.5-turbo
    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
    liest
    -0.92
     quo
    -0.89
    ulates
    -0.82
    ulatory
    -0.82
    angular
    -0.79
    ulating
    -0.77
    rous
    -0.74
    ulators
    -0.70
    ilty
    -0.70
    rely
    -0.69
    POSITIVE LOGITS
     Mayhem
    0.87
     Lite
    0.84
     Miller
    0.76
    quist
    0.74
    iday
    0.72
    £ı
    0.71
    hound
    0.71
    beer
    0.71
    ophon
    0.71
    gren
    0.67
    Activations Density 0.050%

    No Known Activations