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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. 14623
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    INDEX
    Explanations

    positive adjectives describing products or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    punctuations or lists that denote emphasis or separation in thoughts

    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
    EStream
    -0.99
    ulla
    -0.92
    regation
    -0.83
    lication
    -0.76
    iatrics
    -0.76
    EMENT
    -0.75
    onica
    -0.74
    phia
    -0.71
    asio
    -0.70
    vation
    -0.69
    POSITIVE LOGITS
     albeit
    1.00
     resilient
    0.94
     witty
    0.91
     but
    0.91
     efficient
    0.91
     elegant
    0.90
     insightful
    0.89
     inefficient
    0.88
     informative
    0.87
     agile
    0.86
    Activations Density 0.207%

    No Known Activations