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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
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    terms related to legal and political issues, specifically equality and failed investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to equality

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
     resorts
    -0.78
    Course
    -0.72
     Faul
    -0.68
     resort
    -0.67
     Presidents
    -0.65
     Parties
    -0.62
    enders
    -0.60
    TIT
    -0.59
     Wester
    -0.58
     Western
    -0.58
    POSITIVE LOGITS
    TPPStreamerBot
    0.94
    romeda
    0.79
    hedral
    0.78
    querque
    0.75
    ccording
    0.74
    essage
    0.74
     compr
    0.74
     NX
    0.74
     attm
    0.73
    gettable
    0.73
    Activations Density 0.000%

    No Known Activations