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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 6-LLAMASCOPE-RES-32K
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    Explanations

    references to the concept of quality 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 @ 6-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L6R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ew
    -0.18
    amus
    -0.17
    esh
    -0.17
    eling
    -0.16
    _ABI
    -0.15
    uw
    -0.15
    uci
    -0.14
    ames
    -0.14
    ghi
    -0.14
    536
    -0.14
    POSITIVE LOGITS
    -quality
    0.16
    561
    0.15
    quality
    0.14
    /value
    0.14
     quality
    0.14
    ologne
    0.14
    æĴŃ
    0.14
     ê²
    0.13
    worthy
    0.13
    oplast
    0.13
    Activations Density 0.020%

    No Known Activations