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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. 0-RES-JB
    11. 10017
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    Explanations

    words related to the profession of engineering

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of engineers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.77
    yrs
    -0.75
    border
    -0.69
     Rings
    -0.66
    /$
    -0.65
    rug
    -0.64
    alon
    -0.64
    ials
    -0.61
    Non
    -0.61
    bs
    -0.61
    POSITIVE LOGITS
     engineer
    3.80
     Engineer
    2.79
     engineers
    2.59
     engineering
    2.27
     Engineers
    2.08
    Engineers
    2.02
     Engineering
    1.98
    engine
    1.82
    engineering
    1.69
     architect
    1.69
    Activations Density 0.012%

    No Known Activations