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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23349
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    Explanations

    proper nouns such as names of companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    acronyms, abbreviations, or initialisms related to various organizations or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.93
     disputed
    -0.83
     bottleneck
    -0.83
     stroke
    -0.77
     dividing
    -0.75
     recess
    -0.75
     confined
    -0.75
     charge
    -0.74
     length
    -0.73
     substance
    -0.71
    POSITIVE LOGITS
    Fest
    1.03
    GN
    0.99
    Forge
    0.97
    FM
    0.96
    Week
    0.95
    GF
    0.95
    WN
    0.93
    BW
    0.92
    TV
    0.92
    OTA
    0.91
    Activations Density 0.396%

    No Known Activations