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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. 18454
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    Explanations

    keywords related to societal issues and controversies

    oai_token-act-pair · gpt-3.5-turbo

    references to substance use, mental health issues, and societal concerns

    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
     Camb
    -0.59
     Jol
    -0.59
    abase
    -0.57
    irlf
    -0.55
    peror
    -0.54
    semble
    -0.53
    estamp
    -0.53
    tyard
    -0.52
     Moody
    -0.51
     Panzer
    -0.50
    POSITIVE LOGITS
     havens
    0.68
     affordability
    0.68
     technologies
    0.67
     technology
    0.67
     etiquette
    0.66
     equality
    0.66
     activism
    0.65
     education
    0.64
     reform
    0.64
    bugs
    0.64
    Activations Density 0.579%

    No Known Activations