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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. 1-RES-JB
    11. 20940
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    Explanations

    references to electronic devices, specifically smartphones and smartwatches

    oai_token-act-pair · gpt-3.5-turbo

    references to specific smartphone models and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itored
    -0.76
    itional
    -0.73
     guiActiveUn
    -0.73
    aneers
    -0.69
    é»Ĵ
    -0.67
    ewitness
    -0.66
    Quantity
    -0.66
    к
    -0.66
     Retrieved
    -0.65
    Ñĭ
    -0.64
    POSITIVE LOGITS
     MacBook
    0.90
     laptops
    0.84
    amsung
    0.83
     Leopard
    0.83
     contrace
    0.77
     headphones
    0.77
    illard
    0.75
    awei
    0.74
    ilver
    0.74
     devices
    0.74
    Activations Density 0.302%

    No Known Activations