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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. 10-RES-JB
    6. 1818
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    Explanations

    terms related to Japanese animated television shows, characters, and magazines

    oai_token-act-pair · gpt-3.5-turbo

    references to specific media titles or franchises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    espie
    -0.80
     Lyons
    -0.79
     Slovakia
    -0.71
     optics
    -0.69
     prov
    -0.68
     FedEx
    -0.67
     Dixon
    -0.67
     Trinidad
    -0.67
     CLA
    -0.67
     benches
    -0.66
    POSITIVE LOGITS
    etsu
    1.42
    ikuman
    1.38
    utsu
    1.36
    ugi
    1.32
    Åį
    1.29
    itsu
    1.27
    ichi
    1.25
    oku
    1.25
    atsu
    1.24
    uko
    1.24
    Activations Density 0.162%

    No Known Activations