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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 31-LLAMASCOPE-RES-32K
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    Explanations

    phrases related to winning and losing streaks in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 31-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L31R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    å¹³æĸ¹
    -0.15
    ÏģÏī
    -0.15
    @testable
    -0.14
    ëªħìĿĦ
    -0.14
    adesh
    -0.14
    achuset
    -0.14
    çĿĽ
    -0.14
    vetica
    -0.13
    agenta
    -0.13
    lington
    -0.13
    POSITIVE LOGITS
     streak
    0.48
     run
    0.41
     stretch
    0.36
     string
    0.34
     winning
    0.30
     spree
    0.28
    run
    0.28
     runs
    0.28
     sequence
    0.26
    stretch
    0.26
    Activations Density 0.057%

    No Known Activations