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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. 4-RES-JB
    11. 1804
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    Explanations

    mentions of health epidemics or widespread issues

    oai_token-act-pair · gpt-3.5-turbo

    references to various epidemics and public health crises

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

    No Comments

    Negative Logits
    nda
    -0.82
    yard
    -0.79
    */(
    -0.79
    earchers
    -0.77
    tein
    -0.76
    partial
    -0.76
    gem
    -0.75
    ighters
    -0.73
    Lago
    -0.71
    ippi
    -0.70
    POSITIVE LOGITS
     epidemic
    1.19
     Outbreak
    0.98
     outbreak
    0.95
     scourge
    0.95
     plag
    0.95
     endemic
    0.90
     epidem
    0.88
     plague
    0.80
    icity
    0.76
     Epidem
    0.76
    Activations Density 0.011%

    No Known Activations