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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. 7-RES-JB
    11. 9409
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    Explanations

    phrases related to historical events or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to "World War" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibilities
    -0.88
    »Ĵ
    -0.82
    ibly
    -0.78
    ibility
    -0.75
    veyard
    -0.74
     actionGroup
    -0.72
    etsk
    -0.72
    dq
    -0.71
    ippi
    -0.70
    IBLE
    -0.69
    POSITIVE LOGITS
     Wide
    1.03
     Championships
    0.93
     Affairs
    0.92
     Trade
    0.92
     Order
    0.89
    wide
    0.89
     Cup
    0.88
     Airways
    0.88
     Bank
    0.87
     Organisation
    0.86
    Activations Density 0.037%

    No Known Activations