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    1. Home
    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 26-LLAMASCOPE-RES-32K
    6. 1438
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    Explanations

    phrases related to food servings and portion sizes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.26.hook_resid_post
    Hook Layer
    26
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itus
    -0.15
    adiator
    -0.15
    reso
    -0.14
    anning
    -0.14
    anus
    -0.14
    agu
    -0.13
    anken
    -0.13
    agua
    -0.13
    imore
    -0.13
    resas
    -0.13
    POSITIVE LOGITS
     portion
    0.76
     portions
    0.72
    portion
    0.64
     Portions
    0.63
     serving
    0.45
     servings
    0.42
     Serving
    0.42
    -serving
    0.36
     serve
    0.33
     Port
    0.33
    Activations Density 0.076%

    No Known Activations