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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 4-LLAMASCOPE-RES-32K
    11. 13136
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    Explanations

    mentions of Manchester City and associated tactical discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 4-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L4R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ä©
    -0.19
    lez
    -0.18
    asa
    -0.17
    ви
    -0.16
    eprom
    -0.15
     Lynch
    -0.15
    brero
    -0.14
    agma
    -0.14
    rost
    -0.14
    upos
    -0.14
    POSITIVE LOGITS
    apult
    0.17
    scape
    0.15
    ichen
    0.15
    idla
    0.15
    639
    0.15
    iglia
    0.15
    657
    0.14
    寺
    0.14
    processors
    0.14
    aData
    0.14
    Activations Density 0.004%

    No Known Activations