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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. 2-RES-JB
    11. 21087
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    Explanations

    phrases or names related to geographic locations (especially those ending with "-kun")

    oai_token-act-pair · gpt-3.5-turbo

    proper names related to geographic locations and individuals

    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
    Ö¼
    -0.78
     Revelations
    -0.69
    天
    -0.68
     Apostles
    -0.67
    tons
    -0.66
    ANCE
    -0.65
    Ø©
    -0.62
    utics
    -0.61
    ODUCT
    -0.60
    د
    -0.60
    POSITIVE LOGITS
    imura
    0.92
    ikuman
    0.92
    cture
    0.85
    lins
    0.84
    roe
    0.83
    zan
    0.81
    imoto
    0.81
    iatures
    0.80
    nown
    0.79
     Kun
    0.79
    Activations Density 0.006%

    No Known Activations