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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. 2-RES-JB
    11. 17505
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    Explanations

    mentions of professionals and their activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mi
    -0.68
    vari
    -0.65
     Territories
    -0.65
     recess
    -0.64
    FACE
    -0.64
     DeL
    -0.62
    apo
    -0.62
    McC
    -0.62
    Phones
    -0.60
    stock
    -0.59
    POSITIVE LOGITS
     professionals
    0.99
    paces
    0.85
    heet
    0.83
    assetsadobe
    0.82
    smanship
    0.81
    umers
    0.81
    ervatives
    0.81
    olicy
    0.79
    ervative
    0.79
    ession
    0.78
    Activations Density 0.011%

    No Known Activations