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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. 1-RES-JB
    11. 18689
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    Explanations

    keywords related to products or services, such as catalogs, price lists, and specific product names

    oai_token-act-pair · gpt-3.5-turbo

    references to consumer products or merchandise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.71
    SEE
    -0.69
    BuyableInstoreAndOnline
    -0.68
    CLASSIFIED
    -0.66
    ebted
    -0.65
     Schwar
    -0.64
    edom
    -0.63
    aez
    -0.62
    Sav
    -0.62
     marqu
    -0.62
    POSITIVE LOGITS
    ractor
    0.83
    osed
    0.80
    uls
    0.68
    iterator
    0.63
    establishment
    0.63
    isms
    0.62
    racted
    0.62
    strate
    0.62
     Winnipeg
    0.61
    olar
    0.61
    Activations Density 0.000%

    No Known Activations