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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. 10-RES-JB
    6. 22483
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    Explanations

    adjectives and nouns related to medical conditions and health issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to serious health conditions and ailments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.81
    values
    -0.74
     Cosponsors
    -0.74
    cash
    -0.72
     Zup
    -0.70
    ãĤ¨ãĥ«
    -0.68
    icons
    -0.66
    soDeliveryDate
    -0.66
     GEAR
    -0.65
    eworld
    -0.64
    POSITIVE LOGITS
     worsened
    1.14
     diagnosed
    1.08
     pneumonia
    1.04
     suffered
    1.02
     exacerbated
    1.02
     symptoms
    1.01
     illness
    1.00
     caused
    0.99
     ailments
    0.99
    Doctors
    0.97
    Activations Density 0.184%

    No Known Activations