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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. 4-RES-JB
    11. 10508
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    Explanations

    references to the city of Shanghai

    oai_token-act-pair · gpt-3.5-turbo

    references to Shanghai and Alibaba

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

    No Comments

    Negative Logits
    ktop
    -0.81
    gger
    -0.79
    profit
    -0.79
    etheless
    -0.78
    thood
    -0.76
    detail
    -0.74
    lete
    -0.73
    profits
    -0.72
    dit
    -0.71
    leck
    -0.70
    POSITIVE LOGITS
     Lumpur
    0.97
    zhou
    0.94
     Jinping
    0.93
     Cooperation
    0.89
     Shanghai
    0.89
     Disneyland
    0.84
     Shen
    0.84
     Guang
    0.84
    igans
    0.83
     Zhu
    0.80
    Activations Density 0.009%

    No Known Activations