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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. 5358
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    Explanations

    terms related to social issues and government actions, focusing on combating terrorism, mental health, climate change, and human rights

    oai_token-act-pair · gpt-3.5-turbo

    references to critical social issues and their related discussions

    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
    ãĤĵ
    -0.80
    atoes
    -0.73
    ãģĨ
    -0.65
     Balls
    -0.65
    liam
    -0.65
    fle
    -0.62
    atch
    -0.61
    ortex
    -0.61
    pees
    -0.61
     Rasm
    -0.60
    POSITIVE LOGITS
     related
    1.17
     other
    0.98
     extremism
    0.96
     promote
    0.91
     resultant
    0.91
     encourage
    0.89
     enhance
    0.89
     promotes
    0.88
     combating
    0.87
     ensure
    0.86
    Activations Density 0.240%

    No Known Activations