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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. 12518
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    Explanations

    words related to heating systems and equipment

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to heating systems and their operation

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ogo
    -0.70
    uterte
    -0.65
    udo
    -0.64
    âĢ¢âĢ¢
    -0.63
     Geographic
    -0.63
    ournal
    -0.62
    lus
    -0.62
     Mandela
    -0.61
    print
    -0.61
    vec
    -0.60
    POSITIVE LOGITS
     heating
    1.06
     oven
    0.99
     insulation
    0.92
     furnace
    0.85
     furn
    0.84
     heater
    0.82
     stove
    0.80
     appliances
    0.80
     hotter
    0.79
     vents
    0.77
    Activations Density 0.013%

    No Known Activations