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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. 9-RES-JB
    11. 7538
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    phrases related to health and medical conditions, especially those related to diet and physical attributes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health, diet, and nutritional information

    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
    atz
    -0.63
    terday
    -0.61
    netflix
    -0.51
    cffffcc
    -0.50
    estern
    -0.49
    ovember
    -0.48
    DragonMagazine
    -0.48
    apego
    -0.47
     Watergate
    -0.47
    urches
    -0.47
    POSITIVE LOGITS
    %.
    0.72
    '.
    0.69
    .
    0.67
    .(
    0.65
    .[
    0.65
    >.
    0.64
    $.
    0.63
    _.
    0.62
    .'
    0.61
    ().
    0.60
    Activations Density 1.807%

    No Known Activations