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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. 10431
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    Explanations

    terms related to specific entities and organizations

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to organizations, products, and events

    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
    gered
    -0.52
    quickShipAvailable
    -0.52
     doubled
    -0.52
    unts
    -0.51
    )=(
    -0.50
    ,,,,
    -0.50
     ..........
    -0.50
    roximately
    -0.49
     Hels
    -0.49
     [];
    -0.49
    POSITIVE LOGITS
    onian
    0.62
    bernatorial
    0.61
    advertising
    0.58
    CLOSE
    0.55
    PATH
    0.54
    MET
    0.51
    ollywood
    0.51
    consumer
    0.50
    plet
    0.50
    artisan
    0.50
    Activations Density 0.973%

    No Known Activations