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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. 7-RES-JB
    11. 22874
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    INDEX
    Explanations

    background information about individuals such as their professional, military, criminal, and ethnic backgrounds

    oai_token-act-pair · gpt-3.5-turbo

    references to various personal and professional backgrounds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onal
    -0.69
     Oper
    -0.69
    ERG
    -0.66
     Orbit
    -0.66
    EMS
    -0.65
    Sund
    -0.62
    nar
    -0.61
     STOR
    -0.61
     Rak
    -0.56
     efficacy
    -0.56
    POSITIVE LOGITS
    yip
    0.84
    acus
    0.80
     ancest
    0.73
    ploma
    0.72
    aments
    0.69
     backgrounds
    0.68
    cles
    0.67
    kie
    0.65
     diploma
    0.64
     entit
    0.64
    Activations Density 0.217%

    No Known Activations