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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. 2-RES-JB
    11. 15438
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    Explanations

    mentions of specific university names, notably "Rutgers" and "Sears"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific educational institutions and their activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reau
    -0.81
    iership
    -0.79
    zos
    -0.76
    psons
    -0.74
     exchanges
    -0.72
    emis
    -0.69
    iences
    -0.69
     trades
    -0.69
    odies
    -0.67
    verage
    -0.67
    POSITIVE LOGITS
     Yose
    0.92
     Ake
    0.90
     Adin
    0.82
    hett
    0.80
     Rivals
    0.77
     Eliot
    0.76
    kus
    0.75
     Rutgers
    0.74
     Skydragon
    0.73
    åī
    0.68
    Activations Density 0.032%

    No Known Activations