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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. 10911
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    Explanations

    words related to different outdoor sports and activities

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to various sports and activities

    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
    Not in Any Lists

    No Comments

    Negative Logits
     nanop
    -0.67
     ransom
    -0.66
     disproportionate
    -0.66
     SAP
    -0.65
     Aadhaar
    -0.65
     deferred
    -0.65
     Miranda
    -0.64
    theless
    -0.64
     Pelosi
    -0.62
     tumor
    -0.62
    POSITIVE LOGITS
    ateurs
    1.08
    icult
    0.99
     enthusiasts
    0.95
    iquette
    0.91
     enthusiast
    0.90
    etry
    0.90
    arers
    0.89
    ographers
    0.88
     Instruct
    0.87
    apers
    0.87
    Activations Density 0.546%

    No Known Activations