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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. 2-RES-JB
    11. 6026
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    Explanations

    single words related to specific medical conditions, specifically "measles"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health issues and diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dfx
    -0.78
    natureconservancy
    -0.76
     srf
    -0.71
    earchers
    -0.66
    dyl
    -0.66
    izable
    -0.64
    OX
    -0.62
    Ü
    -0.62
    WARD
    -0.61
    istors
    -0.60
    POSITIVE LOGITS
    ague
    1.26
    ly
    0.80
    mble
    0.75
    velt
    0.73
    iard
    0.73
    uve
    0.71
    lings
    0.70
    oslov
    0.67
    y
    0.66
    emouth
    0.64
    Activations Density 0.007%

    No Known Activations