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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. 3-RES-JB
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    Explanations

    references to the country of Japan

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Japan"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chel
    -0.70
    staking
    -0.69
    ients
    -0.67
    regor
    -0.67
    riers
    -0.67
    clusively
    -0.67
    vae
    -0.67
    onies
    -0.66
    legged
    -0.66
    bats
    -0.65
    POSITIVE LOGITS
     Airlines
    0.89
     Yen
    0.86
     yen
    0.86
    £ı
    0.85
    iji
    0.81
    itsu
    0.81
    imura
    0.81
    oka
    0.79
     Arabia
    0.79
     Japan
    0.77
    Activations Density 0.023%

    No Known Activations