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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 23-LLAMASCOPE-RES-32K
    11. 12080
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    Explanations

    references to specific BMW models and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 23-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L23R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igel
    -0.16
     Dans
    -0.15
     Incorporated
    -0.15
    ilet
    -0.15
    yš
    -0.15
    AMAGE
    -0.14
    pecia
    -0.14
     censor
    -0.14
     Essex
    -0.14
    ovah
    -0.14
    POSITIVE LOGITS
     BMW
    0.24
     Philadelphia
    0.22
     München
    0.21
     Bayern
    0.21
     Munich
    0.21
     Bav
    0.21
    Philadelphia
    0.21
     bm
    0.20
     Philly
    0.20
    BMW
    0.20
    Activations Density 0.058%

    No Known Activations