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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. 10093
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    Explanations

    instances related to medical operations

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "coping."

    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
    ships
    -0.79
    ership
    -0.78
    later
    -0.72
    oire
    -0.70
    bread
    -0.69
     simultane
    -0.69
    soever
    -0.68
    pring
    -0.68
    parser
    -0.67
    grave
    -0.66
    POSITIVE LOGITS
    onga
    0.89
    wana
    0.74
    ahon
    0.72
    olls
    0.69
    iatrics
    0.69
    lus
    0.67
    leton
    0.67
    olicy
    0.67
    ugi
    0.67
    dinand
    0.65
    Activations Density 0.026%

    No Known Activations