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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. 8-RES-JB
    11. 23643
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    Explanations

    technical terms and descriptions in the context of research or analysis

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to supply chain management and connections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mercial
    -0.80
     simulate
    -0.72
     Gleaming
    -0.66
    anners
    -0.64
    ribes
    -0.62
    endars
    -0.62
    essional
    -0.61
    ptions
    -0.61
    aintain
    -0.61
    aution
    -0.60
    POSITIVE LOGITS
     namely
    0.82
     overlooked
    0.80
    çİĭ
    0.77
    æĦ
    0.76
     viz
    0.74
    %:
    0.73
    Ore
    0.72
    ãĤ¢ãĥ«
    0.70
     unsolved
    0.69
     immortality
    0.65
    Activations Density 0.765%

    No Known Activations