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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. 23068
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    Explanations

    mentions of countries, especially Japan

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Japan and its related entities

    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
    riers
    -0.84
    vable
    -0.77
    rent
    -0.74
    chel
    -0.71
    thereal
    -0.69
    byss
    -0.69
    regor
    -0.67
    Berry
    -0.67
     BET
    -0.67
    vae
    -0.65
    POSITIVE LOGITS
     yen
    1.09
     Yen
    1.07
    imura
    0.98
    £ı
    0.97
    oka
    0.94
    iji
    0.92
     Mits
    0.84
     Earthquake
    0.81
    hiro
    0.81
    itsu
    0.80
    Activations Density 0.049%

    No Known Activations