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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. 16642
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    Explanations

    terms related to various specialized fields such as manufacturing, agriculture, cooking, finance, photography, and gaming

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various fields of industry and human activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ortium
    -0.68
    ellar
    -0.68
    ãĥ´
    -0.64
    ividual
    -0.62
    txt
    -0.62
    ghazi
    -0.61
    risome
    -0.61
    hift
    -0.61
    heet
    -0.61
    itialized
    -0.60
    POSITIVE LOGITS
     practices
    1.00
     techniques
    0.98
     schemes
    0.97
    houses
    0.97
     regimes
    0.95
    anship
    0.94
     strategies
    0.90
    ptions
    0.89
     systems
    0.87
     technologies
    0.85
    Activations Density 0.429%

    No Known Activations