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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22358
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    Explanations

    information related to missing people

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to missing persons and their circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Democr
    -0.90
     applause
    -0.87
    ħĭ
    -0.77
     Gorsuch
    -0.75
     synerg
    -0.75
     applaud
    -0.75
    thro
    -0.74
     clauses
    -0.73
     CBO
    -0.72
    udo
    -0.72
    POSITIVE LOGITS
     disappearance
    1.71
    Missing
    1.51
    earchers
    1.51
     Missing
    1.48
     vanished
    1.44
     sear
    1.39
     whereabouts
    1.39
     missing
    1.38
     disappeared
    1.35
    missing
    1.33
    Activations Density 0.493%

    No Known Activations