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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. 8-RES-JB
    11. 8986
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    Explanations

    references to different types of entities or objects, such as political parties, drugs, luxury brands, and newspapers

    oai_token-act-pair · gpt-3.5-turbo

    references to societal issues and various groups, including those related to politics, crime, media, and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilogy
    -0.68
    METHOD
    -0.66
    GoldMagikarp
    -0.64
    ITNESS
    -0.64
    atorium
    -0.62
    Attempts
    -0.62
    Iterator
    -0.62
    operation
    -0.61
    ļé
    -0.61
    Management
    -0.60
    POSITIVE LOGITS
    hips
    1.13
    paces
    0.92
     alike
    0.91
     etc
    0.88
    hops
    0.88
    ongs
    0.83
    ynthesis
    0.83
    mith
    0.82
    folk
    0.81
    ensitive
    0.79
    Activations Density 0.593%

    No Known Activations