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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 17-LLAMASCOPE-RES-32K
    11. 15650
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    Explanations

    descriptions of performance quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 17-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L17R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.17.hook_resid_post
    Hook Layer
    17
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    usta
    -0.21
    291
    -0.16
    ards
    -0.16
    REW
    -0.15
    rippling
    -0.15
    sha
    -0.15
    rew
    -0.14
    esta
    -0.14
    akes
    -0.14
    icip
    -0.14
    POSITIVE LOGITS
    peak
    0.18
     peak
    0.18
    Peak
    0.17
     usual
    0.16
     Hodg
    0.16
     Peak
    0.15
    pone
    0.15
     mood
    0.15
    /XMLSchema
    0.14
    undry
    0.14
    Activations Density 0.167%

    No Known Activations