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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. 1-RES-JB
    6. 8050
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    Explanations

    words related to dynamism or constant change

    oai_token-act-pair · gpt-3.5-turbo

    references to dynamic contexts or environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ñ
    -0.92
    chen
    -0.91
    chens
    -0.88
    ablishment
    -0.87
    mare
    -0.85
    creen
    -0.83
    arettes
    -0.82
    ateurs
    -0.81
    arette
    -0.80
    zona
    -0.80
    POSITIVE LOGITS
     dynamic
    1.00
     dynamically
    0.92
    ynamic
    0.92
     dynamics
    0.87
    Dynamic
    0.83
     perspect
    0.80
     contrace
    0.80
     destro
    0.80
     equilibrium
    0.80
     streng
    0.80
    Activations Density 0.004%

    No Known Activations