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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. 17272
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    INDEX
    Explanations

    phrases indicating something is more significant or has a deeper meaning than initially perceived

    oai_token-act-pair · gpt-3.5-turbo

    statements that emphasize the significance or broader implications of a subject or action

    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
    also
    -0.81
     ALSO
    -0.79
    stress
    -0.75
    even
    -0.72
    pei
    -0.71
    fortunately
    -0.71
    almost
    -0.71
    perhaps
    -0.70
    Crash
    -0.70
     likewise
    -0.69
    POSITIVE LOGITS
     aesthetics
    0.96
     cosmetic
    0.89
     aesthetic
    0.82
     decoration
    0.79
     optics
    0.74
     coincidence
    0.74
     novelty
    0.73
     superficial
    0.72
     coasts
    0.69
     paycheck
    0.68
    Activations Density 0.426%

    No Known Activations