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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 22-LLAMASCOPE-RES-32K
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    references to training processes involving neural networks and GPUs

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    eldorf
    -0.16
    antar
    -0.14
    LEM
    -0.14
    872
    -0.13
     Travis
    -0.13
    angers
    -0.13
    acf
    -0.13
    quam
    -0.13
    lep
    -0.13
    orra
    -0.13
    POSITIVE LOGITS
     networks
    0.23
     Res
    0.23
     Alex
    0.22
     pretrained
    0.21
     CNN
    0.21
     deep
    0.21
     Deep
    0.21
    UNET
    0.20
     Conv
    0.20
     Depth
    0.20
    Activations Density 0.022%

    No Known Activations