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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. 18686
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    Explanations

    references to various types of train stations and their contexts

    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
    ustin
    -0.23
    entic
    -0.18
    tings
    -0.18
    UAL
    -0.15
     cita
    -0.15
    space
    -0.15
    enda
    -0.15
    addin
    -0.14
    Åijs
    -0.14
    aul
    -0.14
    POSITIVE LOGITS
    ary
    0.25
    nement
    0.25
    arity
    0.23
    naire
    0.22
    ery
    0.19
    ARY
    0.18
    ellites
    0.18
    äre
    0.18
    l
    0.17
    ellite
    0.17
    Activations Density 0.022%

    No Known Activations