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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. 6-RES-JB
    11. 7382
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    INDEX
    Explanations

    mentions of greenhouse gases or environmental impact

    oai_token-act-pair · gpt-3.5-turbo

    mentions of greenhouse gases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arnaev
    -0.87
    ourning
    -0.78
    sembly
    -0.78
    uyomi
    -0.77
    eon
    -0.73
    ournal
    -0.72
    arov
    -0.72
    Fram
    -0.70
    urai
    -0.69
    orno
    -0.68
    POSITIVE LOGITS
     gases
    1.24
     gas
    1.11
     greenhouse
    1.06
     emissions
    1.00
     dioxide
    0.86
     warming
    0.86
     methane
    0.84
     emission
    0.79
     fuel
    0.74
     burner
    0.74
    Activations Density 0.012%

    No Known Activations