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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. 23081
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    Explanations

    mentions of physical packages or parcels

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of packages

    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
    ffe
    -0.76
    arching
    -0.74
    shire
    -0.72
    lev
    -0.71
    bes
    -0.70
    bered
    -0.70
    vent
    -0.68
    ffen
    -0.67
    Hz
    -0.66
    resp
    -0.66
    POSITIVE LOGITS
     packages
    1.18
     package
    1.16
     Package
    1.05
    packages
    0.95
    package
    0.91
    Package
    0.87
     packaging
    0.86
    mble
    0.81
    Pack
    0.77
     PACK
    0.77
    Activations Density 0.010%

    No Known Activations