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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. 1-RES-JB
    11. 563
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    Explanations

    words related to medical conditions, specifically skin conditions and treatments like "rashes," "blisters," and "steroids."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health issues, particularly those associated with quacks or deceptive medical practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reconstruction
    -0.71
     stewards
    -0.66
    sw
    -0.65
    ty
    -0.63
    SW
    -0.62
    ALLY
    -0.61
    Asset
    -0.61
     closure
    -0.60
    Die
    -0.60
     storm
    -0.59
    POSITIVE LOGITS
    paces
    1.56
    hips
    1.53
    hops
    1.42
    pace
    1.40
    hift
    1.36
    terday
    1.35
    ynthesis
    1.29
    uggest
    1.29
    mith
    1.29
    aurus
    1.27
    Activations Density 0.112%

    No Known Activations