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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. 4-RES-JB
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    Explanations

    words related to Malaysia and its associations

    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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    á½
    -0.76
    ebook
    -0.75
    ptions
    -0.73
    BOOK
    -0.73
    å§
    -0.68
    bern
    -0.67
    BAT
    -0.67
     brut
    -0.66
    enegger
    -0.66
    minus
    -0.64
    POSITIVE LOGITS
     Lumpur
    1.80
     Airlines
    1.36
    awi
    0.87
    daq
    0.84
     airliner
    0.83
     Kuala
    0.83
    colm
    0.83
     Abdul
    0.83
     Malays
    0.81
     airlines
    0.80
    Activations Density 0.011%

    No Known Activations