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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. 6-RES-JB
    11. 17147
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    Explanations

    mentions related to various professions and roles such as developers, students, sailors, teachers, designers, enthusiasts, residents, customers, tenants, musicians, investors, and businesses

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.70
     guiName
    -0.67
     Sunrise
    -0.65
     Angle
    -0.64
     Bung
    -0.64
     Lent
    -0.63
     Lov
    -0.63
     RIS
    -0.62
     Lethal
    -0.62
     Startup
    -0.60
    POSITIVE LOGITS
     alike
    2.26
     respectively
    1.06
     thereof
    0.95
    hips
    0.91
    hari
    0.84
    hip
    0.83
     who
    0.82
    paces
    0.77
    enei
    0.75
    peak
    0.73
    Activations Density 0.201%

    No Known Activations