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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. 9-RES-JB
    11. 4215
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    links between specific dietary habits and health risks or conditions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.80
    phia
    -0.69
     compr
    -0.68
     thous
    -0.66
    ©¶æ
    -0.66
    sid
    -0.63
    sector
    -0.62
    igsaw
    -0.62
     pupp
    -0.61
    isse
    -0.60
    POSITIVE LOGITS
     of
    1.05
    of
    0.95
     OF
    0.89
    Of
    0.88
     Of
    0.86
     thereof
    0.80
    OF
    0.78
    ptoms
    0.74
    FH
    0.73
    ogenic
    0.70
    Activations Density 0.195%

    No Known Activations