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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. 5-RES-JB
    6. 15796
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    Explanations

    the word "anti" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    terms or phrases related to anti-government sentiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mable
    -0.89
    ding
    -0.74
    sed
    -0.73
    nets
    -0.71
    wings
    -0.71
    lined
    -0.70
    manship
    -0.70
    come
    -0.68
    spring
    -0.68
    matically
    -0.68
    POSITIVE LOGITS
    iso
    0.92
    qua
    0.88
     Devi
    0.88
    anti
    0.83
    ucci
    0.82
    ño
    0.78
    opsis
    0.78
    arius
    0.75
    qq
    0.75
    Å¡
    0.74
    Activations Density 0.028%

    No Known Activations