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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the country Malaysia

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Malaysia

    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
    å§
    -0.80
    ebook
    -0.79
    Nap
    -0.75
    BOOK
    -0.74
    ptions
    -0.74
    tower
    -0.72
    BAT
    -0.71
    20439
    -0.69
    OULD
    -0.69
    bern
    -0.69
    POSITIVE LOGITS
     Lumpur
    1.74
     Airlines
    1.43
    daq
    0.89
     airliner
    0.89
     Malaysia
    0.85
     Malays
    0.82
     Airways
    0.82
     Kuala
    0.82
     Abdul
    0.81
     airlines
    0.81
    Activations Density 0.012%

    No Known Activations