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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 15-LLAMASCOPE-RES-32K
    11. 10123
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    quantitative measures and relationships between variables

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 15-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L15R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    tone
    -0.15
     Bet
    -0.15
     stochastic
    -0.15
     Odds
    -0.14
     power
    -0.14
     deterministic
    -0.14
     noexcept
    -0.14
    éijij
    -0.13
     cocci
    -0.13
    callee
    -0.13
    POSITIVE LOGITS
     learning
    0.18
    -learning
    0.17
    lear
    0.17
     learnt
    0.17
    learn
    0.16
    åѦä¼ļ
    0.15
     Learning
    0.15
     íĸīëıĻ
    0.15
    itemap
    0.15
    Learning
    0.15
    Activations Density 0.017%

    No Known Activations