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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. 20404
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    Explanations

    terms related to environmental issues

    oai_token-act-pair · gpt-3.5-turbo

    references to the environment and environmental topics

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    otine
    -0.84
    ilts
    -0.81
    heading
    -0.73
    mington
    -0.71
    arters
    -0.70
    olding
    -0.68
    uster
    -0.68
    headed
    -0.67
    Ń·
    -0.67
    mad
    -0.66
    POSITIVE LOGITS
     Environment
    1.53
    Environment
    0.96
    environment
    0.81
     Explorer
    0.79
     environment
    0.78
     Enhancement
    0.77
     Rover
    0.75
     Matters
    0.75
     Profession
    0.73
     Warfare
    0.72
    Activations Density 0.007%

    No Known Activations