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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 19-LLAMASCOPE-RES-32K
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    Explanations

    references to cheese in various culinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 19-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L19R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rani
    -0.15
    ishi
    -0.14
    imson
    -0.14
    omik
    -0.14
     setFrame
    -0.14
     Marseille
    -0.14
     بÙĥ
    -0.14
     extracts
    -0.13
    imentary
    -0.13
    ughs
    -0.13
    POSITIVE LOGITS
     cheese
    0.31
     Cheese
    0.28
     cheeses
    0.23
     lact
    0.22
    eddar
    0.20
     chees
    0.19
     dairy
    0.19
     cheesy
    0.19
     Dairy
    0.18
    minster
    0.17
    Activations Density 0.025%

    No Known Activations