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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. 11-RES-JB
    11. 12470
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    Explanations

    phrases related to environmental issues or actions

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     millenn
    -0.92
     brill
    -0.87
     challeng
    -0.87
     satell
    -0.83
    yip
    -0.79
     reversible
    -0.75
     cloning
    -0.75
     manageable
    -0.75
    undai
    -0.74
     unlaw
    -0.74
    POSITIVE LOGITS
    âĢ
    2.16
     âĢ
    1.85
    âĢł
    1.60
    ãĢ
    1.49
    ÃĤ
    1.33
    ¨
    1.29
     âĸ
    1.29
     ®
    1.29
    âģ
    1.29
    âľ
    1.27
    Activations Density 0.758%

    No Known Activations