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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. 1-RES-JB
    11. 15749
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    Explanations

    words related to environmental pollution and waste management

    oai_token-act-pair · gpt-3.5-turbo

    terms related to water management and wastewater issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nam
    -0.80
    picture
    -0.79
    eering
    -0.72
    Hug
    -0.69
    onen
    -0.69
    ean
    -0.69
    atem
    -0.68
    match
    -0.68
    nos
    -0.67
    ulas
    -0.66
    POSITIVE LOGITS
     wastewater
    1.01
     wetlands
    1.01
     groundwater
    0.99
     irrig
    0.99
    SourceFile
    0.98
     sewage
    0.97
     waterways
    0.93
     ponds
    0.93
     baths
    0.87
     irrigation
    0.85
    Activations Density 0.022%

    No Known Activations