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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. 9-RES-JB
    11. 20234
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    Explanations

    keywords related to international summits

    oai_token-act-pair · gpt-3.5-turbo

    references to summits or formal meetings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Mechdragon
    -0.76
    effic
    -0.72
    served
    -0.69
    enfranch
    -0.67
    TPS
    -0.65
    lean
    -0.65
    ourke
    -0.64
    avery
    -0.64
    yne
    -0.63
    ©¶æ¥µ
    -0.63
    POSITIVE LOGITS
     summit
    0.97
     attendees
    0.79
     convened
    0.78
     planners
    0.78
    iership
    0.76
     chaired
    0.74
     organisers
    0.72
     meetings
    0.72
     Summit
    0.72
    ivals
    0.71
    Activations Density 0.026%

    No Known Activations