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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 6124
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    Explanations

    references to Volkswagen vehicles and their models

    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
     Maced
    -0.15
    æ¥Ń
    -0.15
    tics
    -0.14
     Britt
    -0.14
    verture
    -0.14
    éru
    -0.14
    Ré
    -0.14
     Sovere
    -0.13
    ëĬIJ
    -0.13
    íĦ¸
    -0.13
    POSITIVE LOGITS
     Wol
    0.29
     VW
    0.27
     Volkswagen
    0.26
     Golf
    0.24
     Beetle
    0.24
     MQ
    0.21
     vw
    0.20
     Gol
    0.20
     wol
    0.19
     gol
    0.19
    Activations Density 0.017%

    No Known Activations