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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. 7-RES-JB
    11. 21085
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    Explanations

    terms related to geological features and environmental conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental and geological processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itles
    -0.65
    ijah
    -0.63
     underdog
    -0.61
    ername
    -0.61
    acebook
    -0.59
     Fn
    -0.59
    èĢħ
    -0.59
    DonaldTrump
    -0.58
    Liberal
    -0.58
    Option
    -0.57
    POSITIVE LOGITS
     sediment
    1.03
     contamin
    1.00
     electroly
    0.97
     wastewater
    0.97
     irrad
    0.97
     radiation
    0.96
     contaminants
    0.95
     ammonia
    0.95
     pollutants
    0.94
     contaminated
    0.93
    Activations Density 1.179%

    No Known Activations