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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 18-LLAMASCOPE-RES-32K
    11. 16145
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    Explanations

    references to losses, defeats, and humiliation in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 18-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L18R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azar
    -0.17
    annel
    -0.16
    erde
    -0.15
    ikel
    -0.15
    ä¹±
    -0.14
    pa
    -0.14
     deadlock
    -0.13
     question
    -0.13
     achievement
    -0.13
     clen
    -0.13
    POSITIVE LOGITS
     lose
    0.25
     losing
    0.24
     loses
    0.24
    lose
    0.24
     Lose
    0.23
    loss
    0.23
     loss
    0.22
     Loss
    0.21
     defeat
    0.20
     LOSS
    0.20
    Activations Density 0.178%

    No Known Activations