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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. 20620
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    Explanations

    references to export-related activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to export activities and pricing

    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
    aque
    -0.83
    aldi
    -0.80
    ttp
    -0.78
    tones
    -0.70
    sonian
    -0.69
     Hoff
    -0.67
     Pall
    -0.66
     Cthulhu
    -0.66
    ormal
    -0.65
    mallow
    -0.65
    POSITIVE LOGITS
     exporting
    0.86
     exports
    0.83
    export
    0.80
     export
    0.78
    sov
    0.74
     abroad
    0.70
    assets
    0.69
    folios
    0.69
    rait
    0.68
    uras
    0.68
    Activations Density 0.013%

    No Known Activations