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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 13371
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    Explanations

    information related to national parks and urban areas in the context of environmental conservation

    oai_token-act-pair · gpt-3.5-turbo

    references to national parks and environmental issues related to urban areas and human impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oken
    -0.84
    ĺħ
    -0.72
    VIDEO
    -0.68
    tics
    -0.67
    yrics
    -0.65
    ĪĴ
    -0.65
    alogy
    -0.65
     Discrimination
    -0.65
    uds
    -0.64
    iquette
    -0.64
    POSITIVE LOGITS
     astronomers
    0.79
     geological
    0.70
     scientists
    0.70
     worldwide
    0.68
     IPM
    0.68
     BP
    0.68
     archaeologists
    0.67
     Geological
    0.64
     marine
    0.63
     astronauts
    0.63
    Activations Density 0.852%

    No Known Activations