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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 6992
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    Explanations

    keywords related to professional skills and competencies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competition and competence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    joy
    -0.74
     vengeance
    -0.70
     Lans
    -0.68
     joy
    -0.65
     shelter
    -0.64
    haul
    -0.62
     Galaxy
    -0.62
     Arabia
    -0.61
     Kubrick
    -0.61
     Soviets
    -0.61
    POSITIVE LOGITS
     compet
    1.06
     Compet
    1.03
    ency
    1.00
    querque
    0.99
    emouth
    0.97
    encies
    0.94
    emark
    0.92
    estyles
    0.88
    ently
    0.87
    ences
    0.86
    Activations Density 0.009%

    No Known Activations