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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 24-LLAMASCOPE-RES-32K
    6. 4103
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    Explanations

    references to player roles and positions 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 @ 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
    ubre
    -0.18
     pur
    -0.18
    ãĥķãĥĪ
    -0.17
    chedulers
    -0.17
    urette
    -0.16
     Pur
    -0.16
    ckt
    -0.15
    pur
    -0.15
    lý
    -0.15
    Experimental
    -0.15
    POSITIVE LOGITS
     Pittsburgh
    0.49
     Steelers
    0.46
     Pitt
    0.32
     steel
    0.31
     PIT
    0.31
    Steel
    0.31
     Carnegie
    0.31
     Alle
    0.31
     Steel
    0.29
     Penguins
    0.28
    Activations Density 0.015%

    No Known Activations