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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 26-LLAMASCOPE-RES-32K
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    Explanations

    references to military spending and defense strategies

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.26.hook_resid_post
    Hook Layer
    26
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    arket
    -0.16
    _queues
    -0.16
     eldre
    -0.15
    _RESOLUTION
    -0.15
    hv
    -0.14
    /pm
    -0.14
    èĥŀ
    -0.14
    ibar
    -0.14
     RCMP
    -0.14
    à¥Īद
    -0.14
    POSITIVE LOGITS
     Defense
    0.40
     Pentagon
    0.39
     defense
    0.38
     Defence
    0.35
    Defense
    0.35
     defence
    0.35
    defense
    0.29
     pent
    0.28
    -defense
    0.28
     Mattis
    0.28
    Activations Density 0.123%

    No Known Activations