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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. 3-RES-JB
    11. 22606
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    Explanations

    phrases related to environmental issues, particularly pollution and activism

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental issues and pollution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ching
    -0.80
    lua
    -0.78
    jong
    -0.77
    oning
    -0.77
    doms
    -0.76
    xus
    -0.76
    strap
    -0.74
    rams
    -0.73
    oons
    -0.73
    zos
    -0.73
    POSITIVE LOGITS
     hazards
    1.09
     footprint
    1.01
     enrichment
    0.99
     sustainability
    0.97
     environmental
    0.96
     pollution
    0.95
     stewards
    0.93
     hazard
    0.93
     degradation
    0.92
     environment
    0.90
    Activations Density 0.008%

    No Known Activations