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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. 10610
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    Explanations

    locations or proper nouns related to Tokyo

    oai_token-act-pair · gpt-3.5-turbo

    references to Tokyo in various contexts

    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
    edly
    -0.93
    hemy
    -0.87
    lain
    -0.78
    ibilities
    -0.75
    ebook
    -0.74
    itives
    -0.72
    inelli
    -0.72
    rals
    -0.70
    estern
    -0.70
    vantage
    -0.70
    POSITIVE LOGITS
     Dome
    0.91
     Gh
    0.81
     Disneyland
    0.78
     Xan
    0.77
    Tok
    0.75
     Babel
    0.73
     Tokyo
    0.72
     Metropolitan
    0.69
     2020
    0.68
     Bay
    0.67
    Activations Density 0.035%

    No Known Activations