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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. 7-RES-JB
    6. 2618
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    Explanations

    statements related to political figures, policies, and events

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to political announcements or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     roam
    -0.63
     slic
    -0.60
     roaming
    -0.58
     cockpit
    -0.55
     spawns
    -0.54
    uces
    -0.53
     mats
    -0.53
    paces
    -0.52
     spawn
    -0.52
    zona
    -0.52
    POSITIVE LOGITS
     Holmes
    0.59
     Dunham
    0.58
     Weeks
    0.58
     Oprah
    0.58
     Disclosure
    0.57
     Rodham
    0.56
     Limbaugh
    0.56
    Reader
    0.56
     Garrison
    0.56
     Nixon
    0.55
    Activations Density 1.723%

    No Known Activations