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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. 9-RES-JB
    6. 10705
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    Explanations

    words related to customization or tailoring

    oai_token-act-pair · gpt-3.5-turbo

    terms related to customization and tailoring

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤµ
    -0.77
    ublic
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    76561
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    Champ
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    KN
    -0.74
    idium
    -0.74
    inth
    -0.74
    ãĥ´
    -0.71
    sha
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    ONY
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    POSITIVE LOGITS
     tailored
    1.14
     accordingly
    0.97
     tailor
    0.94
     suits
    0.88
     menus
    0.86
     customized
    0.86
     suited
    0.81
     optimized
    0.77
     wisely
    0.77
     strategies
    0.77
    Activations Density 0.236%

    No Known Activations