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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. 4093
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    Explanations

    keywords related to receiving or handling packages, possibly in a technical or logistical context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "package" and its variations

    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
    nesota
    -1.00
    bered
    -0.84
    alties
    -0.82
    farious
    -0.77
    baugh
    -0.77
    bes
    -0.75
    aft
    -0.72
    iak
    -0.70
    vent
    -0.68
    ffen
    -0.67
    POSITIVE LOGITS
     Contents
    0.89
     containing
    0.79
    packages
    0.78
     packages
    0.77
     Includes
    0.77
    nam
    0.73
     inserts
    0.73
    mates
    0.71
     tray
    0.70
    aging
    0.70
    Activations Density 0.031%

    No Known Activations