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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18971
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    Explanations

    names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to proper nouns, particularly names and locations

    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
    00007
    -0.77
    estyles
    -0.67
     Mechdragon
    -0.62
    ynski
    -0.57
    %]
    -0.56
    indal
    -0.55
     dstg
    -0.54
     blame
    -0.54
     NK
    -0.53
     KDE
    -0.53
    POSITIVE LOGITS
    pillar
    0.89
    isure
    0.82
    heim
    0.78
    asia
    0.76
    ccording
    0.76
    ILA
    0.75
    pill
    0.75
    zona
    0.74
    hurst
    0.74
    wered
    0.74
    Activations Density 0.092%

    No Known Activations