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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 23-LLAMASCOPE-RES-32K
    11. 1658
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    Explanations

    geographical features, specifically mountains and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 23-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L23R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Scroll
    -0.16
    íĥķ
    -0.16
    -scroll
    -0.16
     Scroll
    -0.15
    ä¸ĭ
    -0.15
    portun
    -0.15
     Valley
    -0.14
     Bottom
    -0.14
    legates
    -0.14
     Cliff
    -0.14
    POSITIVE LOGITS
     peak
    0.39
     peaks
    0.38
    peak
    0.31
     tallest
    0.30
     Peak
    0.30
    Peak
    0.29
     Mount
    0.27
     summit
    0.27
     summ
    0.26
     Peaks
    0.25
    Activations Density 0.093%

    No Known Activations