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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the name "Tony"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Tony."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INESS
    -0.95
    cipline
    -0.79
    Magikarp
    -0.78
    ãģ¦
    -0.77
    76561
    -0.77
    BOOK
    -0.74
    station
    -0.74
    ebook
    -0.74
    doors
    -0.73
    075
    -0.72
    POSITIVE LOGITS
     Abbott
    0.96
     Blair
    0.95
     Tony
    0.92
     Romo
    0.91
     Sop
    0.85
     Stark
    0.80
     Benn
    0.78
    Tony
    0.77
     Hawk
    0.76
    neau
    0.76
    Activations Density 0.008%

    No Known Activations