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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    Explanations

    themes of punishment and revenge

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    æijĩ
    -0.15
    isay
    -0.15
     ilma
    -0.15
    alar
    -0.14
    ấp
    -0.14
     complimentary
    -0.14
    iyim
    -0.14
    pher
    -0.14
    Alarm
    -0.13
    .pull
    -0.13
    POSITIVE LOGITS
     revenge
    0.56
     vengeance
    0.51
     Revenge
    0.46
    venge
    0.40
     retaliation
    0.38
     vend
    0.37
     justice
    0.37
     retal
    0.34
     repr
    0.34
     retali
    0.33
    Activations Density 0.260%

    No Known Activations