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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. 7-RES-JB
    11. 22992
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    Explanations

    words related to maximizing or minimizing something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to maximizing and minimizing outcomes or values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worldly
    -0.80
    ker
    -0.79
    gob
    -0.73
    enegger
    -0.72
    lis
    -0.72
    wall
    -0.70
    lust
    -0.70
    Else
    -0.69
    king
    -0.69
    arter
    -0.67
    POSITIVE LOGITS
    nesota
    0.92
    imize
    0.91
     maximize
    0.90
     maximizing
    0.85
     utilization
    0.81
     minimize
    0.81
     mileage
    0.79
     maxim
    0.79
     minim
    0.78
     amounts
    0.77
    Activations Density 0.033%

    No Known Activations