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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 9-LLAMASCOPE-RES-32K
    11. 3060
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    Explanations

    instances of significant actions or attributes related to people and objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 9-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L9R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     pans
    -0.16
     McInt
    -0.16
     net
    -0.16
    seau
    -0.16
    rary
    -0.16
     mean
    -0.16
     ach
    -0.15
     bom
    -0.15
    neh
    -0.15
     total
    -0.15
    POSITIVE LOGITS
    REN
    0.16
    mland
    0.15
    701
    0.15
    oders
    0.15
     Affero
    0.15
    afort
    0.15
    деÑĢж
    0.15
    óż
    0.14
    aga
    0.14
    idor
    0.14
    Activations Density 0.017%

    No Known Activations