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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 6-LLAMASCOPE-RES-32K
    11. 21088
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    references to cheese in various culinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 6-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L6R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ñĥг
    -0.16
    ucc
    -0.14
    lands
    -0.14
    -INF
    -0.14
     Lam
    -0.14
    rosso
    -0.14
    HandlerContext
    -0.14
    uc
    -0.14
     Schl
    -0.14
     poj
    -0.14
    POSITIVE LOGITS
     absent
    0.17
    oller
    0.15
    ets
    0.15
    ehler
    0.15
    /perl
    0.14
    uliar
    0.14
     вÑĥз
    0.14
    ystal
    0.14
     dep
    0.14
     ++$
    0.14
    Activations Density 0.010%

    No Known Activations