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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. 11-RES-JB
    11. 12543
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    INDEX
    Explanations

    names and titles of individuals, likely in the context of news articles or reports

    oai_token-act-pair · gpt-3.5-turbo

    prominent individuals or public figures in a narrative context

    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
     Beacon
    -0.81
     Olympia
    -0.79
    Cub
    -0.72
     Becky
    -0.70
     Tacoma
    -0.69
    PLAY
    -0.68
     Sounders
    -0.68
    prototype
    -0.66
     Colossus
    -0.66
    ãĢı
    -0.64
    POSITIVE LOGITS
     Sharma
    1.48
     Rao
    1.39
     Singh
    1.38
     Gupta
    1.29
     Kumar
    1.27
     Yad
    1.24
     Patel
    1.18
    appa
    1.15
     Gandhi
    1.15
    athan
    1.15
    Activations Density 0.173%

    No Known Activations