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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. 1-RES-JB
    11. 6841
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    Explanations

    mentions of the city "Shanghai" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to Shanghai and its economic or cultural significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.80
    profit
    -0.78
    leck
    -0.76
    gger
    -0.75
    profits
    -0.73
    give
    -0.71
    cki
    -0.70
    ktop
    -0.68
    lete
    -0.67
    detail
    -0.67
    POSITIVE LOGITS
     Shanghai
    1.12
     Lumpur
    0.94
     Jinping
    0.90
     Guang
    0.87
    zhou
    0.86
     nood
    0.86
     yuan
    0.86
     Shen
    0.86
     Zhou
    0.85
     Jiang
    0.84
    Activations Density 0.004%

    No Known Activations