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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. 15609
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    INDEX
    Explanations

    mentions of the name "Mis" followed by varying degrees of activation for different prefixes or suffixes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the name "Mis" and "Melissa" in contexts suggesting misidentification or misleading narratives

    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
    izes
    -0.88
    atin
    -0.81
    istics
    -0.79
    inates
    -0.78
    ilan
    -0.78
    uner
    -0.77
    anu
    -0.76
    rera
    -0.76
    ized
    -0.75
    oise
    -0.75
    POSITIVE LOGITS
    ELD
    0.70
    epad
    0.67
     Keynes
    0.66
    iotics
    0.65
    cest
    0.63
    FORMATION
    0.63
     condensed
    0.63
     challeng
    0.62
    EEE
    0.61
    ciplinary
    0.59
    Activations Density 0.095%

    No Known Activations