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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. 9-RES-JB
    11. 18004
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    Explanations

    references to geographic locations, particularly focusing on the country of Malaysia

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Malaysia and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    á½
    -0.69
    ptions
    -0.67
    BAT
    -0.64
    enegger
    -0.64
     brut
    -0.62
    tops
    -0.62
    ebook
    -0.62
    tower
    -0.61
    velt
    -0.61
    ãĤ¨ãĥ«
    -0.60
    POSITIVE LOGITS
     Lumpur
    1.70
     Airlines
    1.25
    colm
    0.98
     airliner
    0.85
    aimon
    0.83
    querade
    0.83
    awi
    0.83
    vati
    0.82
    sey
    0.80
    ovic
    0.80
    Activations Density 0.046%

    No Known Activations