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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 2-LLAMASCOPE-RES-32K
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    terms related to accuracy and precision in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 2-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L2R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    еÑĢо
    -0.16
    673
    -0.15
    .pipeline
    -0.14
    лиÑĩ
    -0.14
    èĦĤ
    -0.14
    Msp
    -0.14
    inder
    -0.14
    mers
    -0.14
    ß
    -0.13
    ers
    -0.13
    POSITIVE LOGITS
    ãĤ¤ãĤ¯
    0.16
     accur
    0.16
    din
    0.15
    uur
    0.15
     accuracy
    0.15
    åĩĨ
    0.15
     accurate
    0.14
    vale
    0.14
    accuracy
    0.14
    bay
    0.14
    Activations Density 0.014%

    No Known Activations