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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. 9483
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    INDEX
    Explanations

    names of companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to major corporations and companies

    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
     endings
    -0.82
    mire
    -0.77
    hemer
    -0.73
     accompan
    -0.73
     adulthood
    -0.71
    idency
    -0.71
    imester
    -0.71
    omore
    -0.70
    xual
    -0.70
    thirds
    -0.69
    POSITIVE LOGITS
     Siem
    1.03
     Chevron
    0.97
     Exxon
    0.96
     Chrysler
    0.94
     Motorola
    0.94
     Cosponsors
    0.94
    Amazon
    0.93
     Coca
    0.93
     IBM
    0.92
     Alibaba
    0.92
    Activations Density 0.181%

    No Known Activations