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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 28-LLAMASCOPE-RES-32K
    6. 17477
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    Explanations

    quantifiable metrics related to performance in sports and games

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 28-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L28R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    iert
    -0.15
    zim
    -0.15
    umber
    -0.14
    ê°IJ
    -0.14
    arga
    -0.13
    altar
    -0.13
     Past
    -0.13
    aga
    -0.13
    ANTA
    -0.13
    .Std
    -0.12
    POSITIVE LOGITS
     each
    0.78
     ap
    0.74
    each
    0.67
     EACH
    0.60
     Each
    0.60
    Each
    0.58
     cada
    0.53
    .each
    0.53
    _each
    0.51
     chac
    0.49
    Activations Density 0.069%

    No Known Activations