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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. 10-RES-JB
    11. 12423
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    INDEX
    Explanations

    industrial and economic terms, especially related to specific sectors such as automotive and pharmaceutical industries

    oai_token-act-pair · gpt-3.5-turbo

    references to specific industries and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourning
    -0.75
    duty
    -0.72
    posted
    -0.69
    compliance
    -0.68
    riel
    -0.66
    usalem
    -0.65
    fter
    -0.64
    adena
    -0.64
    ricular
    -0.62
    speak
    -0.61
    POSITIVE LOGITS
     Trilogy
    0.81
     debacle
    0.81
     fiasco
    0.80
     Consortium
    0.76
     Quart
    0.74
     Museum
    0.73
     etc
    0.72
     franchise
    0.71
     system
    0.71
     Institute
    0.70
    Activations Density 0.455%

    No Known Activations