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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. 0-RES-JB
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    Explanations

    references or mentions of the city "Seoul"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Seoul

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ott
    -0.82
     hay
    -0.80
    zag
    -0.77
     Parm
    -0.76
    aukee
    -0.74
     Companion
    -0.72
     barrel
    -0.70
     Comet
    -0.69
     Matthews
    -0.69
     Vend
    -0.68
    POSITIVE LOGITS
     Seoul
    2.92
     Choi
    2.31
     Yong
    2.04
     Koreans
    2.01
     Jung
    1.96
     Sung
    1.92
    ãħĭãħĭ
    1.91
     Kang
    1.91
     Cheong
    1.90
     Korean
    1.89
    Activations Density 0.043%

    No Known Activations