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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. 833
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    Explanations

    news sources or publications

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "The" and associated news sources or identifiers

    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
     "$:/
    -0.85
    isSpecialOrderable
    -0.80
    =>
    -0.66
     brakes
    -0.65
     beds
    -0.65
    itatively
    -0.64
    ulators
    -0.61
     silence
    -0.61
     screws
    -0.60
    stood
    -0.59
    POSITIVE LOGITS
    utterstock
    1.35
    alyst
    0.89
    imedia
    0.89
    intendent
    0.83
     Images
    0.82
    senal
    0.81
    hesda
    0.80
    GoldMagikarp
    0.77
    Photo
    0.76
    lando
    0.76
    Activations Density 0.071%

    No Known Activations