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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. 16448
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    Explanations

    terms related to eradicating or curing diseases or social issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the eradication of diseases and notable figures associated with those efforts

    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
    ¬¼
    -0.79
     shelves
    -0.77
    WARE
    -0.72
     tem
    -0.69
     glances
    -0.67
     breaths
    -0.66
     equivalents
    -0.65
     readings
    -0.63
     TABLE
    -0.63
     whale
    -0.62
    POSITIVE LOGITS
    icating
    1.25
    ication
    1.24
    icated
    1.08
    gew
    1.06
    icator
    1.00
    ually
    0.96
    uction
    0.95
    ality
    0.93
    icative
    0.93
    icular
    0.93
    Activations Density 0.021%

    No Known Activations