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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. 0-RES-JB
    11. 18946
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    Explanations

    keywords related to the coal industry

    oai_token-act-pair · gpt-3.5-turbo

    references to coal and its related concepts or industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sense
    -0.72
    ultimate
    -0.72
     Ortiz
    -0.72
    Ultimate
    -0.71
    Doc
    -0.71
     Hiro
    -0.70
     Shib
    -0.68
     Diaz
    -0.68
    sense
    -0.68
    fight
    -0.68
    POSITIVE LOGITS
     coal
    3.65
     Coal
    2.86
    coal
    2.31
     fossil
    1.68
     uranium
    1.57
     shale
    1.49
     miners
    1.46
     diesel
    1.39
     charcoal
    1.38
     mining
    1.36
    Activations Density 0.026%

    No Known Activations