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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. 5-RES-JB
    6. 16350
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    INDEX
    Explanations

    words related to military combat tactics and strategies, especially those involving interacting with enemies

    oai_token-act-pair · gpt-3.5-turbo

    references to opponents or adversaries within a competitive context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uesday
    -0.87
    ocument
    -0.80
    ascript
    -0.79
    oled
    -0.78
    hetti
    -0.77
    mbuds
    -0.77
    aus
    -0.76
    phrine
    -0.74
    aza
    -0.73
    ranging
    -0.73
    POSITIVE LOGITS
     combatants
    1.04
     enemy
    0.96
     Enemy
    0.94
     takeover
    0.88
     invasion
    0.82
    enemy
    0.78
     foe
    0.78
     spouse
    0.78
     commander
    0.77
     fighters
    0.77
    Activations Density 0.020%

    No Known Activations