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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. 16949
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    INDEX
    Explanations

    news sources and media-related words

    oai_token-act-pair · gpt-3.5-turbo

    mentions of news organizations and their broadcasts

    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
    naire
    -0.76
     tee
    -0.71
    sed
    -0.71
     Wah
    -0.67
     FedEx
    -0.67
     Dropbox
    -0.66
    ouses
    -0.65
     groom
    -0.64
     Haku
    -0.64
     hypert
    -0.62
    POSITIVE LOGITS
    radio
    0.84
     Correspond
    0.74
    iland
    0.72
     Wales
    0.70
    liv
    0.70
    isbury
    0.69
    levision
    0.69
    Ãį
    0.69
    INESS
    0.68
     Insider
    0.67
    Activations Density 0.139%

    No Known Activations