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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 14-LLAMASCOPE-RES-32K
    11. 30655
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    Explanations

    concepts related to quality and effectiveness 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 @ 14-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L14R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    -0.17
    eper
    -0.16
    cin
    -0.15
    éru
    -0.14
    umbs
    -0.14
     pac
    -0.14
     Zam
    -0.14
    eview
    -0.14
    ÃŃc
    -0.14
     proceedings
    -0.14
    POSITIVE LOGITS
    -quality
    0.20
    lest
    0.17
    quality
    0.17
     quality
    0.16
    748
    0.15
    iese
    0.15
    еÑģÑĤв
    0.15
     Network
    0.14
    姿
    0.14
    ify
    0.14
    Activations Density 0.115%

    No Known Activations