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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. 9-RES-JB
    6. 24142
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    INDEX
    Explanations

    mentions of research studies and reviews

    oai_token-act-pair · gpt-3.5-turbo

    references to dietary studies and health-related guidelines

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ulkan
    -0.77
    DragonMagazine
    -0.75
    asar
    -0.70
    etsk
    -0.69
    ussia
    -0.69
    ileaks
    -0.67
    steamapps
    -0.67
     looting
    -0.66
    oust
    -0.64
    rastructure
    -0.64
    POSITIVE LOGITS
     Pediatrics
    1.08
     recommends
    1.05
     Oprah
    1.02
     advises
    1.00
     therapists
    0.96
     CDC
    0.95
     counseling
    0.95
     pediatric
    0.95
     Psychology
    0.94
     psychologist
    0.93
    Activations Density 1.522%

    No Known Activations