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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. 4846
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    Explanations

    references to electronic devices or systems

    oai_token-act-pair · gpt-3.5-turbo

    references to electronic items or concepts

    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
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    No Comments

    Negative Logits
    xual
    -0.82
     Parables
    -0.76
    hig
    -0.73
    cific
    -0.72
    aird
    -0.71
    heimer
    -0.69
    erest
    -0.69
    atar
    -0.69
    arte
    -0.69
    hoff
    -0.69
    POSITIVE LOGITS
     gadgets
    0.93
    ronic
    0.88
     warfare
    0.87
     cigarettes
    0.84
     circuits
    0.81
     electronic
    0.81
     surveillance
    0.78
     gadget
    0.78
     systems
    0.77
     cigarette
    0.76
    Activations Density 0.012%

    No Known Activations