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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. 5547
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names or references to specific individuals and places

    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
    enegger
    -0.83
    itably
    -0.76
    tainment
    -0.65
     specificity
    -0.63
     è£ıè¦ļéĨĴ
    -0.63
     TTL
    -0.63
     Oilers
    -0.62
    IX
    -0.62
    matic
    -0.61
    geist
    -0.61
    POSITIVE LOGITS
    quet
    0.99
    andon
    0.92
    zeb
    0.91
    bery
    0.89
    anca
    0.88
    izon
    0.86
    etooth
    0.85
    jas
    0.84
    aji
    0.84
    otti
    0.83
    Activations Density 0.006%

    No Known Activations