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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. 11-RES-JB
    11. 21847
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    Explanations

    mentions of locations in Japan

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant political events or announcements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Colorado
    -0.98
     Alexandria
    -0.97
    ̶
    -0.95
     Bray
    -0.89
    uliffe
    -0.88
    Virginia
    -0.88
     Lyons
    -0.85
     Dixon
    -0.85
     Malone
    -0.83
    Denver
    -0.82
    POSITIVE LOGITS
     Japan
    2.15
    Japan
    2.13
     Tokyo
    2.09
     Osaka
    2.09
     Japanese
    2.07
    Japanese
    1.99
     yen
    1.97
     Shinzo
    1.96
     Okinawa
    1.92
    Tok
    1.90
    Activations Density 0.686%

    No Known Activations