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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. 9-RES-JB
    11. 17951
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    Explanations

    Japanese names

    oai_token-act-pair · gpt-3.5-turbo

    names of notable individuals in the entertainment industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tering
    -0.84
    ulence
    -0.71
    mosp
    -0.70
    laughter
    -0.69
    matically
    -0.69
    Colorado
    -0.69
    metic
    -0.67
    iaries
    -0.67
    undy
    -0.67
    roph
    -0.66
    POSITIVE LOGITS
    ichi
    1.36
     Yosh
    1.33
     Tsuk
    1.32
     Tanaka
    1.28
    jin
    1.28
     yen
    1.25
     Mats
    1.23
    oka
    1.23
     Hiro
    1.22
     Tsu
    1.21
    Activations Density 0.220%

    No Known Activations