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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. 12-RES-JB
    11. 3767
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    Explanations

    words related to environmental issues, specifically focusing on pollution and its effects on health and the environment

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related to environmental impact and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    worth
    -0.72
    aido
    -0.62
    wcsstore
    -0.58
    Donald
    -0.56
     Liberal
    -0.56
     Genocide
    -0.55
     Measures
    -0.54
     Editing
    -0.54
     Reasons
    -0.54
    TRUMP
    -0.54
    POSITIVE LOGITS
     pores
    1.01
     reservoirs
    0.92
     surrounding
    0.89
     waterways
    0.86
     porous
    0.85
     membranes
    0.84
     nearby
    0.83
     rivers
    0.83
     cracks
    0.83
     soils
    0.82
    Activations Density 0.223%

    No Known Activations