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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 18-LLAMASCOPE-RES-32K
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    Explanations

    phrases related to the concept of boredom versus excitement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 18-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L18R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    imal
    -0.14
    vr
    -0.14
     å·Ŀ
    -0.14
    ç¸
    -0.14
    odes
    -0.14
    unning
    -0.14
    innie
    -0.13
    iral
    -0.13
    .isSuccessful
    -0.13
    enco
    -0.13
    POSITIVE LOGITS
     exciting
    0.36
     excitement
    0.35
     interesting
    0.31
    interesting
    0.30
     drama
    0.28
     thrilling
    0.27
     action
    0.26
    Interesting
    0.25
     excit
    0.24
     Interesting
    0.24
    Activations Density 0.195%

    No Known Activations