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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
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    Explanations

    diseases or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to infectious diseases and medical conditions

    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
    tops
    -0.89
    arist
    -0.84
    natureconservancy
    -0.77
    redo
    -0.77
    ahime
    -0.75
    asio
    -0.74
    alist
    -0.71
    eff
    -0.71
    rior
    -0.71
    peror
    -0.71
    POSITIVE LOGITS
     vaccination
    1.09
     vaccine
    1.08
     measles
    1.03
     polio
    1.02
     vaccinations
    0.99
     vaccines
    0.98
     virus
    0.94
     outbreak
    0.91
    pox
    0.91
     epidemic
    0.90
    Activations Density 0.012%

    No Known Activations