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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    Explanations

    occurrences of the verb "haber" and its conjugations 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 @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gregar
    -0.19
    piar
    -0.17
    imen
    -0.17
    itize
    -0.17
    dar
    -0.16
    regar
    -0.15
    errar
    -0.15
    egie
    -0.15
    ominator
    -0.15
    voy
    -0.14
    POSITIVE LOGITS
     sido
    0.26
     hecho
    0.23
     dado
    0.22
     estado
    0.20
     corrid
    0.20
     puesto
    0.19
     visto
    0.19
     partido
    0.18
     realizado
    0.18
     pod
    0.18
    Activations Density 0.028%

    No Known Activations