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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 14-LLAMASCOPE-RES-32K
    11. 7161
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    Explanations

    contextually significant attributes associated with content, particularly in relation to characteristics or qualities of objects or topics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 14-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L14R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    okud
    -0.16
    gov
    -0.15
    zew
    -0.15
    éŀ
    -0.15
    lite
    -0.15
    mma
    -0.14
    bsolute
    -0.14
    hcp
    -0.14
    illance
    -0.13
    ilog
    -0.13
    POSITIVE LOGITS
     either
    0.19
    either
    0.17
    regar
    0.16
     EITHER
    0.14
     vagy
    0.14
    YW
    0.14
    DY
    0.14
    Either
    0.13
     atau
    0.13
    ou
    0.13
    Activations Density 0.166%

    No Known Activations