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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    Explanations

    descriptions of food quality and preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Salad
    -0.15
     Underground
    -0.14
    659
    -0.14
     Kitchen
    -0.14
    essor
    -0.14
    alar
    -0.14
     static
    -0.14
     baking
    -0.14
     Ice
    -0.14
     fond
    -0.14
    POSITIVE LOGITS
     delicious
    0.24
     moist
    0.23
     tasty
    0.23
    DEL
    0.22
     DEL
    0.22
     nutritious
    0.21
     mouth
    0.20
     filling
    0.20
     flavorful
    0.20
    del
    0.20
    Activations Density 0.142%

    No Known Activations