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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    various references related to the region of Bengal and Bangalore in India

    oai_token-act-pair · gpt-3.5-turbo

    references to locations in India, specifically Bengal and its related terms

    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
    EW
    -0.70
    aires
    -0.66
    tre
    -0.62
     SN
    -0.61
    ems
    -0.60
    ona
    -0.60
    HE
    -0.58
    ense
    -0.58
    ance
    -0.58
    ery
    -0.57
    POSITIVE LOGITS
     Bengal
    4.26
     Bangalore
    2.03
     Kerala
    1.68
     Beng
    1.68
     Chennai
    1.54
     Bombay
    1.52
     Hyder
    1.50
     Bengals
    1.50
     Bangladesh
    1.40
     Delhi
    1.37
    Activations Density 0.018%

    No Known Activations