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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. 8-RES-JB
    11. 11574
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    INDEX
    Explanations

    keywords related to fuel, such as fuel efficiency, fuel sources, fuel economy, fuel switching, fuel consumption, and fuel mileage

    oai_token-act-pair · gpt-3.5-turbo

    references to fuel and energy sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.78
    ettings
    -0.74
    ihad
    -0.73
    iannopoulos
    -0.70
    onyms
    -0.69
    ournal
    -0.65
    orld
    -0.65
     Bei
    -0.63
     Proud
    -0.62
    umbn
    -0.62
    POSITIVE LOGITS
     rods
    0.92
     combustion
    0.85
     consumption
    0.83
    less
    0.80
    wagon
    0.80
     supply
    0.79
    plug
    0.79
    train
    0.79
     refuel
    0.77
    pipe
    0.76
    Activations Density 0.057%

    No Known Activations