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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. 9-RES-JB
    6. 11809
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    Explanations

    technical terms related to digital technology and political discussions

    oai_token-act-pair · gpt-3.5-turbo

    issues related to health, legislation, and societal impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.85
     Ballard
    -0.69
     Craigslist
    -0.64
    exclusive
    -0.64
     Yelp
    -0.62
     Kimmel
    -0.62
     Amtrak
    -0.62
    Ohio
    -0.61
     Supplemental
    -0.61
     Heller
    -0.59
    POSITIVE LOGITS
    )."
    1.14
     ..."
    1.13
    ..."
    1.11
    )",
    1.08
     etc
    1.07
    '."
    1.06
     â̦"
    1.05
    .",
    1.05
    â̦."
    1.04
    â̦"
    1.04
    Activations Density 1.188%

    No Known Activations