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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. 8-RES-JB
    6. 7463
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    Explanations

    phrases related to high-ranking officials or members of organizations, often in the context of news or issues

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in security or military contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     FANTASY
    -0.92
     brunch
    -0.86
     commercials
    -0.79
     Nerd
    -0.79
    Consumer
    -0.78
    Apps
    -0.76
    flix
    -0.74
    Loop
    -0.74
    Madison
    -0.74
     ballpark
    -0.72
    POSITIVE LOGITS
     assassinated
    1.46
     Gaddafi
    1.35
     assassinate
    1.30
     martyr
    1.28
     militant
    1.19
     smugg
    1.18
     Saddam
    1.17
     Baghd
    1.13
     Jihad
    1.13
     Islamist
    1.13
    Activations Density 0.891%

    No Known Activations