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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22427
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    Explanations

    words related to regulations, safety measures, and other criteria associated with vehicles and transportation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety regulations and vehicle management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    tur
    -0.77
    wolf
    -0.62
    åĤ
    -0.61
    achable
    -0.59
     CRE
    -0.59
    factor
    -0.57
    æĦ
    -0.56
     Wolves
    -0.56
    heit
    -0.56
    iable
    -0.56
    POSITIVE LOGITS
    iasco
    0.67
     Cosponsors
    0.65
    reciation
    0.62
     Archdemon
    0.62
     Prohibition
    0.62
    ã
    0.61
    idy
    0.60
     Nieto
    0.60
     Tycoon
    0.60
    vertisements
    0.60
    Activations Density 0.392%

    No Known Activations