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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    Explanations

    discussions about motivation and engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     amplify
    -0.17
    .descriptor
    -0.15
    offer
    -0.15
     amplified
    -0.14
    -pill
    -0.13
    Pago
    -0.13
     informed
    -0.13
    morgan
    -0.13
    isoft
    -0.13
    NSBundle
    -0.13
    POSITIVE LOGITS
     motivation
    0.48
    mot
    0.47
    Mot
    0.46
     Mot
    0.46
     motivate
    0.45
     motiv
    0.45
     motivating
    0.40
     моÑĤ
    0.39
     encouragement
    0.38
     incentive
    0.38
    Activations Density 0.412%

    No Known Activations