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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. 20461
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    INDEX
    Explanations

    words related to environmental topics, especially related to emissions reductions

    oai_token-act-pair · gpt-3.5-turbo

    references to carbon emissions

    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
    Else
    -0.79
    ivas
    -0.77
    uscript
    -0.75
    inosaur
    -0.75
    esthetic
    -0.74
    allion
    -0.71
    amina
    -0.71
    ciating
    -0.70
    lege
    -0.69
     Else
    -0.69
    POSITIVE LOGITS
     emissions
    1.21
     emission
    1.00
     reductions
    0.96
     emitting
    0.94
     dioxide
    0.92
     Reduction
    0.89
     gases
    0.89
     pollution
    0.85
     reduction
    0.85
     emit
    0.85
    Activations Density 0.027%

    No Known Activations