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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. 2898
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    INDEX
    Explanations

    chemical elements, especially metals

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of metals and their environmental or health impacts

    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
    zee
    -0.81
    ctors
    -0.78
    NEY
    -0.77
     Archdemon
    -0.77
    zz
    -0.70
     Riders
    -0.69
    ATIONS
    -0.67
    Synopsis
    -0.64
     Peel
    -0.64
    Syrian
    -0.64
    POSITIVE LOGITS
    mith
    1.10
     metals
    1.07
     oxide
    1.07
     alloy
    1.04
     mercury
    0.94
     chloride
    0.90
    ergic
    0.88
    imet
    0.83
     iod
    0.83
     pollut
    0.82
    Activations Density 0.013%

    No Known Activations