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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. 4-RES-JB
    11. 20733
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    Explanations

    specific terms related to environmental issues, particularly focusing on carbon emissions and climate change

    oai_token-act-pair · gpt-3.5-turbo

    topics related to carbon emissions and climate change

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

    No Comments

    Negative Logits
    IME
    -0.86
    yrinth
    -0.84
    ime
    -0.76
     Valiant
    -0.74
    iple
    -0.74
    FORMATION
    -0.70
    Word
    -0.68
     Pub
    -0.67
     Ital
    -0.67
     Spiel
    -0.67
    POSITIVE LOGITS
     pollution
    1.06
     emissions
    0.94
     warming
    0.93
     endanger
    0.91
     sustainability
    0.91
     harms
    0.88
     hazards
    0.86
     safeguards
    0.85
    iferation
    0.85
     campaigner
    0.84
    Activations Density 0.105%

    No Known Activations