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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. 11-RES-JB
    11. 15034
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    Explanations

    information about health risks associated with certain habits or conditions

    oai_token-act-pair · gpt-3.5-turbo

    discussions about health risks and their associations with diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Wonder
    -0.67
     mathemat
    -0.62
    å°Ĩ
    -0.62
    tainment
    -0.61
    Ü
    -0.59
    issance
    -0.59
    ŀ
    -0.58
    displayText
    -0.58
    ateurs
    -0.58
     Diplom
    -0.58
    POSITIVE LOGITS
     of
    0.92
     allele
    0.92
     prevalence
    0.90
     incidence
    0.86
     bacteria
    0.83
     mortality
    0.82
     infection
    0.82
     obesity
    0.81
     predis
    0.81
     cardiovascular
    0.80
    Activations Density 0.095%

    No Known Activations