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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. 6-RES-JB
    6. 7001
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    Explanations

    locations and phrases written on objects

    oai_token-act-pair · gpt-3.5-turbo

    specific items or features that are detailed in a physical description

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WAY
    -0.85
     facult
    -0.80
    Charges
    -0.79
    QUIRE
    -0.74
    BIL
    -0.73
    Phones
    -0.72
     virginity
    -0.71
    wife
    -0.70
    çĦ
    -0.70
    ================================
    -0.69
    POSITIVE LOGITS
     aster
    0.83
     orange
    0.80
     RGB
    0.79
     pi
    0.78
     marker
    0.77
     pixels
    0.77
     etched
    0.77
     highlighted
    0.77
     Doodle
    0.76
     stripes
    0.76
    Activations Density 0.389%

    No Known Activations