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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. 15616
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    INDEX
    Explanations

    descriptions of devices or machines being powered by a source or technology

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of being powered or energized by some source

    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
    ordan
    -0.81
    esan
    -0.79
    ynski
    -0.69
    esi
    -0.68
    ãģĵ
    -0.67
    alty
    -0.66
    ei
    -0.64
    roma
    -0.62
    eret
    -0.61
     Borders
    -0.61
    POSITIVE LOGITS
     powered
    0.89
    wagen
    0.85
     turbines
    0.83
     Powered
    0.76
    powered
    0.75
     propulsion
    0.74
     powering
    0.74
     locom
    0.74
     generators
    0.73
     propel
    0.73
    Activations Density 0.072%

    No Known Activations