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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 500
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    names of prominent historical figures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    imir
    -0.17
    atura
    -0.17
    rada
    -0.16
    igte
    -0.15
     Duty
    -0.15
    itzer
    -0.14
    mers
    -0.14
     Kurum
    -0.14
    arti
    -0.14
    igate
    -0.14
    POSITIVE LOGITS
    ovna
    0.28
    овиÑĩ
    0.24
    ovich
    0.22
    iev
    0.22
    ÑĢовиÑĩ
    0.19
     ÑĥлÑĭ
    0.18
    евиÑĩ
    0.17
    nown
    0.16
    enko
    0.16
    ev
    0.15
    Activations Density 0.037%

    No Known Activations