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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. 8583
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    Explanations

    mentions of various diseases in text

    oai_token-act-pair · gpt-3.5-turbo

    references to diseases

    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
    BN
    -0.82
    tes
    -0.77
    TW
    -0.71
    gur
    -0.68
    DCS
    -0.63
    CHA
    -0.63
    gran
    -0.62
    ruce
    -0.62
    GS
    -0.61
     Huff
    -0.61
    POSITIVE LOGITS
     Diseases
    1.06
     diseases
    1.05
    afety
    1.00
     infections
    0.88
     ailments
    0.86
    ometimes
    0.83
     Outbreak
    0.83
     pathogens
    0.82
    chool
    0.82
     outbreaks
    0.80
    Activations Density 0.006%

    No Known Activations