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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. 8-RES-JB
    6. 6381
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    Explanations

    information related to public health challenges, societal issues, and national crises

    oai_token-act-pair · gpt-3.5-turbo

    topics related to public health challenges, particularly obesity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pload
    -0.76
     Reload
    -0.71
     Nope
    -0.71
    Bonus
    -0.68
    bats
    -0.68
    tein
    -0.68
    onyms
    -0.68
    ittal
    -0.68
     nods
    -0.66
    Laughs
    -0.65
    POSITIVE LOGITS
     urgently
    1.11
     epidemic
    1.09
     urgent
    1.08
     impacting
    1.04
     inequ
    1.03
     plag
    1.02
     confronting
    1.00
     economic
    0.99
     societal
    0.99
     interconnected
    0.99
    Activations Density 0.902%

    No Known Activations