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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. 10-RES-JB
    6. 18020
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    INDEX
    Explanations

    names and titles of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to leadership and authority figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cub
    -0.84
    PLAY
    -0.76
    Spanish
    -0.69
     Beacon
    -0.69
     Sounders
    -0.69
    prototype
    -0.66
     Zurich
    -0.65
     Becky
    -0.65
     Havana
    -0.64
    Miami
    -0.64
    POSITIVE LOGITS
     Sharma
    1.52
     Singh
    1.52
     Gupta
    1.48
     Rao
    1.43
     Devi
    1.41
     Kumar
    1.41
     Patel
    1.35
     Yad
    1.28
    pta
    1.26
     Gandhi
    1.26
    Activations Density 0.256%

    No Known Activations