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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. 8-RES-JB
    11. 23422
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    Explanations

    keywords related to technology, particularly smart devices like Smart TVs, Smartphones, and Smart Cities

    oai_token-act-pair · gpt-3.5-turbo

    references to smart devices and technology

    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
    xual
    -0.88
     Welch
    -0.81
    ICAN
    -0.78
     McDonnell
    -0.71
     Michaels
    -0.70
     OPEC
    -0.68
    volent
    -0.66
     Anonymous
    -0.66
    UGE
    -0.65
    hedral
    -0.65
    POSITIVE LOGITS
    phone
    1.14
    phones
    1.12
    Things
    1.02
    paren
    0.92
    watch
    0.91
    Asset
    0.86
    Points
    0.86
    ening
    0.84
    bul
    0.84
    Track
    0.81
    Activations Density 0.012%

    No Known Activations