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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    Explanations

    instances of the word "rem" and its variations, indicating a focus on themes of remembrance or memory

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 16-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L16R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ergy
    -0.16
    ernal
    -0.15
    rey
    -0.15
     McGr
    -0.14
     neat
    -0.14
    ematics
    -0.14
     Mae
    -0.14
    bris
    -0.14
    iously
    -0.14
    uzzle
    -0.14
    POSITIVE LOGITS
    /rem
    0.20
    perature
    0.19
    nants
    0.18
    rive
    0.18
     Rem
    0.17
    aldi
    0.17
     rem
    0.17
    rem
    0.17
    ovable
    0.17
    veis
    0.16
    Activations Density 0.022%

    No Known Activations