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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    locations and events related to the city of Beijing

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Beijing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.75
    RANT
    -0.72
    imeo
    -0.71
    RH
    -0.71
    ESH
    -0.69
    ::::::::
    -0.69
     Trooper
    -0.68
    detail
    -0.68
    --+
    -0.67
    gger
    -0.66
    POSITIVE LOGITS
    ijing
    1.19
     Jinping
    1.06
     Beijing
    1.04
     Lumpur
    1.01
    zhou
    0.93
     Yuan
    0.93
    jing
    0.87
     yuan
    0.85
     PLA
    0.84
     Jing
    0.84
    Activations Density 0.007%

    No Known Activations