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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. 2-RES-JB
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    Explanations

    terms related to environmental discussions, particularly focusing on emissions and efforts to reduce them

    oai_token-act-pair · gpt-3.5-turbo

    references to emissions, particularly in the context of environmental impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Else
    -0.94
    ISH
    -0.76
    inosaur
    -0.75
    ivas
    -0.73
    rooms
    -0.73
    vier
    -0.72
    nan
    -0.71
    esthetic
    -0.71
    nee
    -0.71
     Psychiatric
    -0.70
    POSITIVE LOGITS
     emissions
    1.31
     emission
    1.15
     emitting
    0.95
     emit
    0.89
     pollution
    0.89
     dioxide
    0.88
     mitigation
    0.85
     emits
    0.85
    ptions
    0.83
     pollutants
    0.83
    Activations Density 0.015%

    No Known Activations