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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 15-LLAMASCOPE-RES-32K
    11. 19335
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    Explanations

    mentions of automotive safety features and their effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 15-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L15R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leneck
    -0.15
    .gdx
    -0.15
    .fm
    -0.15
    (___
    -0.14
    ì£
    -0.14
    anje
    -0.14
    lene
    -0.14
    ednou
    -0.14
    목
    -0.14
     Ùģار
    -0.14
    POSITIVE LOGITS
     safety
    0.20
     features
    0.20
     feature
    0.18
     Safety
    0.17
     automatic
    0.17
    åĥį
    0.16
     signal
    0.16
     advanced
    0.16
     hon
    0.15
     rear
    0.15
    Activations Density 0.018%

    No Known Activations