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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    names of Indian states and regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 20-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L20R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     barang
    -0.15
    berry
    -0.15
    enheim
    -0.15
    ledo
    -0.14
     Zheng
    -0.14
     Yuan
    -0.14
    ullo
    -0.13
     Clarkson
    -0.13
    Ấ
    -0.13
     Fac
    -0.13
    POSITIVE LOGITS
     state
    0.30
     State
    0.28
     Pradesh
    0.23
    å·ŀ
    0.23
    state
    0.22
    State
    0.21
     Governor
    0.21
     governor
    0.20
    -state
    0.19
    éĤ¦
    0.19
    Activations Density 0.045%

    No Known Activations