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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. 5934
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    Explanations

    technical terms related to electricity, energy, and control systems

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to energy and its transformations

    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
    Brexit
    -0.94
     Canaver
    -0.88
    Netflix
    -0.87
     Notting
    -0.83
    NBA
    -0.82
    20439
    -0.82
    Muslims
    -0.81
    ghazi
    -0.80
    abetes
    -0.80
    osate
    -0.78
    POSITIVE LOGITS
     latter
    1.14
     initial
    0.95
     discrepancy
    0.90
     mechanism
    0.88
     resultant
    0.87
     intermediate
    0.85
     resulting
    0.84
     arrangement
    0.84
     residual
    0.82
     difference
    0.81
    Activations Density 0.864%

    No Known Activations