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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. 8-RES-JB
    11. 10995
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    Explanations

    numbers and measurements

    oai_token-act-pair · gpt-3.5-turbo

    symbols and phrases related to numerical values or scoring systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.70
    heit
    -0.64
     Faul
    -0.59
    utsche
    -0.58
     tranquil
    -0.58
     Kimmel
    -0.58
     slaves
    -0.58
     mistrust
    -0.58
    lah
    -0.57
    hurst
    -0.56
    POSITIVE LOGITS
    peat
    0.80
    quarters
    0.78
     OD
    0.73
    redits
    0.70
    rencies
    0.69
    byte
    0.69
    dimensional
    0.67
    GHz
    0.67
    ateral
    0.66
    uple
    0.64
    Activations Density 0.201%

    No Known Activations