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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. 11-RES-JB
    11. 5488
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    INDEX
    Explanations

    contaminants in water sources and environmental radiation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental contaminants and associated health risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oppable
    -0.85
    rir
    -0.73
    emonic
    -0.68
    ANC
    -0.68
     unification
    -0.67
    thood
    -0.66
    reprene
    -0.64
    NESS
    -0.63
    ernaut
    -0.63
    Rating
    -0.63
    POSITIVE LOGITS
     samples
    1.18
     soils
    1.16
     ponds
    1.11
     contaminated
    1.09
     specimens
    1.03
     wells
    1.01
     reservoirs
    0.99
     tissues
    0.98
     fluids
    0.95
     groundwater
    0.95
    Activations Density 0.277%

    No Known Activations