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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. 7-RES-JB
    6. 13321
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    Explanations

    keywords related to instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    the word "For" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     forg
    -0.65
     crawl
    -0.65
    zona
    -0.64
    itiz
    -0.62
    soDeliveryDate
    -0.58
    â̳
    -0.56
    æĺ¯
    -0.56
     bottleneck
    -0.55
     jaws
    -0.55
     helicop
    -0.54
    POSITIVE LOGITS
    bidden
    1.62
    gotten
    1.61
    cing
    1.21
    ced
    1.21
    give
    1.12
     example
    1.07
    getting
    1.04
    wards
    1.03
     instance
    1.01
    bid
    1.01
    Activations Density 0.057%

    No Known Activations