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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 30-LLAMASCOPE-RES-32K
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    code block structures and formatting in programming languages

    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
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    Negative Logits
    éĻµ
    -0.17
    zbek
    -0.15
     discharge
    -0.15
    ÑĩаÑĤ
    -0.15
    roud
    -0.14
    dden
    -0.14
    zburg
    -0.14
    102
    -0.14
     ge
    -0.14
    iens
    -0.13
    POSITIVE LOGITS
    0.33
    0.25
    0.23
    ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ
    0.21
    ↵                ↵
    0.19
    ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ
    0.18
    0.18
                    ↵
    0.17
    0.17
    0.17
    Activations Density 0.037%

    No Known Activations