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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. 9-RES-JB
    11. 22845
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    Explanations

    terms related to energy sources and efficiency

    oai_token-act-pair · gpt-3.5-turbo

    references to energy sources and energy efficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bernatorial
    -0.66
     Jury
    -0.62
     Assass
    -0.62
    ãĥ£
    -0.61
     conjecture
    -0.57
    hiro
    -0.56
     urge
    -0.56
    lihood
    -0.55
    endum
    -0.54
     Trayvon
    -0.53
    POSITIVE LOGITS
    instead
    1.07
     rather
    0.96
     instead
    0.96
     equivalents
    0.94
     plantations
    0.83
     facilities
    0.81
    rather
    0.80
     booths
    0.78
     stations
    0.78
     counterparts
    0.77
    Activations Density 0.713%

    No Known Activations