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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    references to the city of Shanghai

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Shanghai

    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
    thood
    -0.76
    ktop
    -0.75
    profit
    -0.74
    gger
    -0.73
    detail
    -0.69
    profits
    -0.68
    leck
    -0.67
    lete
    -0.67
    vous
    -0.67
    etheless
    -0.64
    POSITIVE LOGITS
     Lumpur
    1.08
    zhou
    0.98
     Jinping
    0.97
     Cooperation
    0.92
     Shanghai
    0.91
     Shen
    0.85
     Zhou
    0.83
     Guang
    0.83
    ghai
    0.82
     Jiang
    0.81
    Activations Density 0.008%

    No Known Activations