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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 6236
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    Explanations

    metrics related to vehicle performance and fuel efficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æĺĩ
    -0.15
    unik
    -0.14
    ilo
    -0.14
    axon
    -0.14
    atron
    -0.14
     Caps
    -0.13
     Vend
    -0.13
     Kaf
    -0.13
     vict
    -0.13
    cba
    -0.13
    POSITIVE LOGITS
     fuel
    0.30
     Fuel
    0.28
    Fuel
    0.28
    fuel
    0.26
     highway
    0.25
     mpg
    0.24
    çĩĥ
    0.24
     EPA
    0.23
     economy
    0.23
     mileage
    0.23
    Activations Density 0.078%

    No Known Activations