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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. 8-RES-JB
    11. 19364
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    Explanations

    terms related to environmental issues, specifically focusing on greenhouse gases

    oai_token-act-pair · gpt-3.5-turbo

    references to greenhouse gas emissions and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Naj
    -0.80
    sembly
    -0.77
    umbn
    -0.69
    ournal
    -0.69
    uyomi
    -0.67
     Cannes
    -0.66
    urat
    -0.66
    eon
    -0.66
     Swim
    -0.66
     IMAGES
    -0.64
    POSITIVE LOGITS
     gases
    1.37
     gas
    1.20
     greenhouse
    1.07
     emissions
    1.02
     dioxide
    0.93
     warming
    0.92
     methane
    0.90
    warming
    0.84
    gas
    0.84
    ogenic
    0.83
    Activations Density 0.027%

    No Known Activations