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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. 10-RES-JB
    11. 1452
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    Explanations

    lnrelectual fire and high energy in contexts such as science, technology, and innovation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to energy, rates, and environmental impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.70
    SPONSORED
    -0.68
    alter
    -0.67
    shop
    -0.66
    =-=-=-=-
    -0.65
    ADRA
    -0.65
     Kenobi
    -0.63
    igl
    -0.63
     anew
    -0.62
     Till
    -0.61
    POSITIVE LOGITS
     (>
    1.16
     levels
    1.04
     (<
    1.01
     rates
    1.01
     density
    0.99
     lows
    0.98
    ensity
    0.96
     threshold
    0.93
     thresholds
    0.93
     percentages
    0.91
    Activations Density 0.148%

    No Known Activations