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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. 0-RES-JB
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    Explanations

    names related to Japanese culture

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with the name "Yosh" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igue
    -0.84
    cape
    -0.80
     football
    -0.78
    CO
    -0.77
    Denver
    -0.73
     climate
    -0.73
     Broncos
    -0.72
     lungs
    -0.72
    arte
    -0.72
     coal
    -0.72
    POSITIVE LOGITS
     Yosh
    3.58
     Nish
    2.23
     Fuj
    2.12
     Tosh
    1.72
     Tsuk
    1.71
     Sug
    1.67
     Ish
    1.66
     Yoshi
    1.58
     Kats
    1.58
     Kash
    1.53
    Activations Density 0.047%

    No Known Activations