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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 20-LLAMASCOPE-RES-32K
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    issues related to performance and frame rates in virtual reality environments

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 20-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L20R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    rlen
    -0.17
    çħ§
    -0.15
     pne
    -0.15
    Segue
    -0.15
     diameter
    -0.14
    allee
    -0.14
    umn
    -0.14
     radi
    -0.14
    å¾Ħ
    -0.13
    CEED
    -0.13
    POSITIVE LOGITS
    Hz
    0.21
     кад
    0.21
    lag
    0.20
     refresh
    0.19
     Hz
    0.19
     Smooth
    0.19
     Rate
    0.19
    Rate
    0.19
     Refresh
    0.19
     rate
    0.18
    Activations Density 0.035%

    No Known Activations