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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. 5-RES-JB
    6. 14434
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    legal terms associated with accusations and charges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OIL
    -0.67
    zsche
    -0.67
     Olive
    -0.65
    ãĥ¼ãĥ³
    -0.64
    =-=-=-=-=-=-=-=-
    -0.64
    tz
    -0.62
     Franks
    -0.62
    idge
    -0.61
    ISM
    -0.60
     Hidden
    -0.60
    POSITIVE LOGITS
    ignment
    0.93
    sembly
    0.92
    engers
    0.88
     arra
    0.85
    igned
    0.84
    itant
    0.82
    eanor
    0.81
    emy
    0.79
    icter
    0.78
    ctions
    0.78
    Activations Density 0.034%

    No Known Activations