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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. 7-RES-JB
    11. 9694
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    INDEX
    Explanations

    professions or roles, like buyers, doctors, owners, providers, institutions, hospitals, teachers, smokers, drivers, tech startups, retailers, editors, entrepreneurs, judges, airports, companies, plumbers, decorators, caregivers, and investors

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¦ãĤ¹
    -0.65
    atever
    -0.64
    âĶĢâĶĢâĶĢâĶĢ
    -0.62
    Translation
    -0.61
    ?????-
    -0.57
    âĸ¬
    -0.56
    retty
    -0.56
     Azerb
    -0.55
    jri
    -0.55
    sche
    -0.54
    POSITIVE LOGITS
    chool
    1.03
    hip
    0.98
    mith
    0.97
    paces
    0.89
    hips
    0.85
    cript
    0.82
    folk
    0.78
    pace
    0.76
    creen
    0.72
    heet
    0.70
    Activations Density 0.503%

    No Known Activations