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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    statements about the impact of safety messages on driving behavior and crash statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    termin
    -0.15
    çIJ´
    -0.15
    ecast
    -0.14
     é¡
    -0.14
     bombed
    -0.14
    积
    -0.14
     bombing
    -0.13
     bombs
    -0.13
    è¿«
    -0.13
    LAG
    -0.13
    POSITIVE LOGITS
     traffic
    0.34
     crash
    0.32
     Traffic
    0.31
     roadway
    0.30
     driver
    0.30
    traffic
    0.29
     drivers
    0.28
     road
    0.28
     crashes
    0.28
     distracted
    0.28
    Activations Density 0.158%

    No Known Activations