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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. 1-RES-JB
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    Explanations

    terms related to renewable energy sources

    oai_token-act-pair · gpt-3.5-turbo

    references to renewable energy sources and ethanol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uma
    -0.77
    odore
    -0.76
    pper
    -0.71
    tub
    -0.66
     Pike
    -0.65
    osa
    -0.65
     Lumpur
    -0.65
    ordering
    -0.65
    asper
    -0.65
    ozo
    -0.64
    POSITIVE LOGITS
     renewables
    1.08
     Renew
    0.94
     renewable
    0.87
    issance
    0.78
    itures
    0.76
     fuels
    0.76
     absor
    0.76
    anol
    0.74
    ulously
    0.72
     divest
    0.72
    Activations Density 0.007%

    No Known Activations