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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 22053
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    Explanations

    keywords related to military and warfare, specifically referring to "Allied" forces

    oai_token-act-pair · gpt-3.5-turbo

    references to the Allied forces and their operations during historical conflicts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    à
    -0.89
    BOOK
    -0.88
    inventoryQuantity
    -0.81
    Hop
    -0.81
    anity
    -0.78
    Minecraft
    -0.78
    aminer
    -0.78
    Book
    -0.77
    displayText
    -0.74
    hots
    -0.74
    POSITIVE LOGITS
     Allied
    1.02
     Forces
    0.95
     Allies
    0.92
     parach
    0.87
    ãĤ¤ãĥĪ
    0.81
     Powers
    0.79
     Compos
    0.76
     Thy
    0.76
     servic
    0.75
     sympath
    0.74
    Activations Density 0.022%

    No Known Activations