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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. 4-RES-JB
    11. 20422
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    Explanations

    proper nouns related to prominent individuals and organizations in the field of intelligence and cybersecurity, such as names like Clapper, Kaspersky Lab, and Rasmussen

    oai_token-act-pair · gpt-3.5-turbo

    names of organizations and individuals associated with intelligence and espionage

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

    No Comments

    Negative Logits
    LOAD
    -0.70
    Interstitial
    -0.64
    forts
    -0.63
     Sard
    -0.62
    ships
    -0.61
     fetus
    -0.60
     enactment
    -0.59
     pleas
    -0.59
    requ
    -0.58
    ret
    -0.58
    POSITIVE LOGITS
    aspers
    0.97
    ongyang
    0.84
    iant
    0.84
    sonian
    0.83
    onite
    0.81
    DragonMagazine
    0.79
    ilon
    0.79
    andum
    0.77
    Analy
    0.76
     Reports
    0.75
    Activations Density 0.015%

    No Known Activations