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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. 13615
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    INDEX
    Explanations

    names of specific companies, particularly in the sector of oil and gas, technology, and entertainment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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 @ 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
     palate
    -0.75
    arij
    -0.67
    endum
    -0.66
     circumstance
    -0.64
    ilege
    -0.64
    eanor
    -0.64
    latable
    -0.63
     adjourn
    -0.61
     scrimmage
    -0.61
     cliff
    -0.61
    POSITIVE LOGITS
     Corp
    0.97
     Corporation
    0.94
    Mobil
    0.91
     Holdings
    0.91
    Money
    0.83
     Laboratories
    0.82
     Inc
    0.81
     Enterprises
    0.80
     Worldwide
    0.79
     Motors
    0.79
    Activations Density 0.203%

    No Known Activations