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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. 9-RES-JB
    11. 2823
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    Explanations

    technical terms related to electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    references to devices and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    steen
    -0.82
    stad
    -0.75
    gres
    -0.74
     Nights
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    atorium
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    heit
    -0.69
    und
    -0.69
    olitan
    -0.69
    é»Ĵ
    -0.69
    draft
    -0.65
    POSITIVE LOGITS
     devices
    0.99
     manufacturer
    0.89
     device
    0.86
     Devices
    0.83
     manufacturers
    0.82
    awei
    0.82
     interfaces
    0.78
     implanted
    0.78
     Device
    0.74
     charger
    0.73
    Activations Density 0.031%

    No Known Activations