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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. 3-RES-JB
    11. 6486
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    Explanations

    phrases referring to academic or scientific research papers

    oai_token-act-pair · gpt-3.5-turbo

    academic references and citations in research documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Jobs
    -0.89
     CBO
    -0.74
     Regions
    -0.71
     Genius
    -0.71
     Chaser
    -0.69
     Advocate
    -0.68
     Solar
    -0.67
     Corps
    -0.67
    PASS
    -0.67
     Debt
    -0.67
    POSITIVE LOGITS
    icably
    1.04
    manac
    0.91
    querque
    0.89
     withd
    0.87
    ibi
    0.84
    rador
    0.83
    ittle
    0.82
    phys
    0.82
    aeda
    0.81
    chemist
    0.79
    Activations Density 0.011%

    No Known Activations