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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 26-LLAMASCOPE-RES-32K
    11. 18776
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    Explanations

    references to specific beers and their cultural context

    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
     Renault
    -0.19
    ISCO
    -0.15
     ij
    -0.15
     Eston
    -0.15
     Kale
    -0.14
     Roose
    -0.14
     Hur
    -0.14
    адки
    -0.14
    iske
    -0.14
    -Sah
    -0.14
    POSITIVE LOGITS
     Munich
    0.36
     Bav
    0.32
     München
    0.31
     Bayern
    0.29
     münchen
    0.23
     Bam
    0.21
     Bayer
    0.21
    Bay
    0.21
     BMW
    0.20
     Brewer
    0.20
    Activations Density 0.032%

    No Known Activations