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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. 4-RES-JB
    11. 934
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    Explanations

    phrases related to work ethic and dedication

    oai_token-act-pair · gpt-3.5-turbo

    terms related to work ethic

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ency
    -0.72
     Comfort
    -0.68
     Celest
    -0.66
     entrances
    -0.61
    saf
    -0.60
    ña
    -0.60
    stroke
    -0.60
    çİĭ
    -0.60
     Sapphire
    -0.60
    ño
    -0.59
    POSITIVE LOGITS
    istical
    1.02
    naire
    0.93
    ists
    0.89
     ethic
    0.89
    tarians
    0.79
    istic
    0.79
    naires
    0.78
    istically
    0.77
    ics
    0.77
    ist
    0.77
    Activations Density 0.029%

    No Known Activations